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Enrich oral health source inventory
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‎agent-radar.json‎

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"schema_version": 1,
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"total_packs": 105,
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"total_tasks": 544,
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"scoped_tasks": 101,
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"latent_tasks": 443,
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"scoped_tasks": 100,
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"latent_tasks": 444,
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"status_counts": {
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"scoped": 101,
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"scoped": 100,
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"needs-triage": 439,
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"needs-review": 4
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"needs-review": 5
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},
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"owner_role_counts": {
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"literature-scout": 105,
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"field-reality-reviewer": 106
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},
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"scoped_role_counts": {
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"literature-scout": 101
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"literature-scout": 100
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},
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"reviewer_needed_counts": {
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"domain-reviewer": 225,
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"protocol_alerts": [],
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"contributor_lanes": {
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"first_moves": [
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{
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"pack_id": "public-health/oral-health-access-global",
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"pack_title": "Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries",
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"task_id": "source-inventory",
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"title": "Inventory data sources for public-health/oral-health-access-global",
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"owner_role": "literature-scout",
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"reviewer_needed": "domain-reviewer",
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"safety_risk": "low",
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"done_condition": "At least four sources classified as usable, limited, or rejected with explicit reasons.",
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"evidence_count": 5,
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"downstream_tasks_unlocked": 4,
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"downstream_high_risk_tasks": 2,
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"problem_file": "problem-packs/public-health/oral-health-access-global/problem.md",
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"tasks_file": "problem-packs/public-health/oral-health-access-global/tasks.json",
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"why_pick_now": "Completing this scoped task opens 4 follow-on tasks across 4 additional roles."
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},
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{
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"pack_id": "education/digital-divide-school-access-global",
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"pack_title": "Digital Divide Measurement And School Internet Connectivity In Low-Income Countries",
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"problem_file": "problem-packs/disaster-resilience/urban-flooding-south-asia/problem.md",
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"tasks_file": "problem-packs/disaster-resilience/urban-flooding-south-asia/tasks.json",
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"why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles."
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},
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{
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"pack_id": "public-health/substandard-falsified-medicines-global",
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"pack_title": "Substandard And Falsified Medicine Detection And Surveillance Gaps In Low- And Middle-Income Countries",
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"task_id": "source-inventory",
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"title": "Inventory quality-surveillance, field-survey, market-distribution, and regulatory data sources for SF medicines analysis",
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"owner_role": "literature-scout",
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"reviewer_needed": "domain-reviewer",
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"safety_risk": "medium",
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"done_condition": "At least six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering sampling frame, test method, geographic grain, supply-chain tier, and substandard-versus-falsified disaggregation status.",
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"evidence_count": 4,
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"downstream_tasks_unlocked": 5,
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"downstream_high_risk_tasks": 3,
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"problem_file": "problem-packs/public-health/substandard-falsified-medicines-global/problem.md",
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"tasks_file": "problem-packs/public-health/substandard-falsified-medicines-global/tasks.json",
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"why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles."
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}
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],
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"unlock_paths": [
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"scoped_tasks": 0,
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"latent_tasks": 127,
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"share_of_all_tasks": 0.233,
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"share_of_latent_tasks": 0.287
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"share_of_latent_tasks": 0.286
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},
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{
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"owner_role": "field-reality-reviewer",
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"scoped_tasks": 0,
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"latent_tasks": 105,
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"share_of_all_tasks": 0.193,
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"share_of_latent_tasks": 0.237
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"share_of_latent_tasks": 0.236
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},
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{
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"owner_role": "data-cleaner",
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"scoped_tasks": 0,
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"latent_tasks": 101,
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"share_of_all_tasks": 0.186,
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"share_of_latent_tasks": 0.228
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"share_of_latent_tasks": 0.227
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},
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{
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"owner_role": "literature-scout",
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"scoped_tasks": 101,
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"latent_tasks": 4,
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"scoped_tasks": 100,
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"latent_tasks": 5,
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"share_of_all_tasks": 0.193,
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"share_of_latent_tasks": 0.009
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"share_of_latent_tasks": 0.011
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}
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]
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}

‎docs/wiki/Agent-Radar.md‎

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- **105 problem packs**
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- **544 total tasks**
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- **101 scoped now**
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- **443 follow-on tasks still latent**
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- **100 scoped now**
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- **444 follow-on tasks still latent**
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- **Owner roles:** `data-cleaner`: 101, `field-reality-reviewer`: 106, `implementation-planner`: 127, `literature-scout`: 105, `red-team-reviewer`: 105
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- **Reviewer demand:** `domain-reviewer`: 225, `field-reality-reviewer`: 107, `red-team-reviewer`: 105, `replicator`: 107
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- **Safety mix:** `high`: 284, `low`: 13, `medium`: 247
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These are the best entry tasks for a fresh contributor. Ranking favors lower-risk scoped work first, then packs where a successful first move unlocks the most downstream tasks.
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### 1. Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries
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- Pack: [`public-health/oral-health-access-global`](../../problem-packs/public-health/oral-health-access-global/problem.md)
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- Task: `source-inventory` — Inventory data sources for public-health/oral-health-access-global
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- Risk: `low`
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- Reviewer needed: `domain-reviewer`
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- Existing evidence records: 5
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- Downstream tasks unlocked: 4
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- Downstream high-risk tasks: 2
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least four sources classified as usable, limited, or rejected with explicit reasons.
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### 2. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries
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### 1. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries
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- Pack: [`education/digital-divide-school-access-global`](../../problem-packs/education/digital-divide-school-access-global/problem.md)
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- Task: `source-inventory` — Inventory school connectivity, mobile-network, and digital-learning data sources for low-income countries
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering connectivity-classification methodology, data currency, and cross-validation status.
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### 3. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries
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### 2. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries
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- Pack: [`education/skills-training-youth-employment-global`](../../problem-packs/education/skills-training-youth-employment-global/problem.md)
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- Task: `source-inventory` — Inventory training-provider, employment-outcome, labor-market, and skills-mismatch data sources for LMICs
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering provider-data fragmentation, outcome-tracking rates, and informal-sector measurement gaps.
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### 4. Stillbirth Measurement Gaps And Intrapartum Care Quality In High-Burden Countries
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### 3. Stillbirth Measurement Gaps And Intrapartum Care Quality In High-Burden Countries
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- Pack: [`public-health/stillbirth-measurement-quality-global`](../../problem-packs/public-health/stillbirth-measurement-quality-global/problem.md)
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- Task: `source-inventory` — Inventory stillbirth data sources across survey, CRVS, and facility systems
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least six candidate sources are classified as usable, limited, or rejected with explicit reasons covering definition threshold, measure family, time reference, geographic grain, and relevance to intrapartum versus counting-system interpretation.
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### 5. Satellite-Driven Deforestation Detection And Species Loss Risk In The Amazon Basin
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### 4. Satellite-Driven Deforestation Detection And Species Loss Risk In The Amazon Basin
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- Pack: [`biodiversity/deforestation-amazon`](../../problem-packs/biodiversity/deforestation-amazon/problem.md)
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- Task: `source-inventory` — Inventory deforestation and biodiversity data sources for Amazon basin
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons.
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### 6. Sea-Level Rise Coastal Exposure And Adaptation Prioritization In Small Island Developing States
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### 5. Sea-Level Rise Coastal Exposure And Adaptation Prioritization In Small Island Developing States
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- Pack: [`climate-adaptation/sea-level-rise-small-islands`](../../problem-packs/climate-adaptation/sea-level-rise-small-islands/problem.md)
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- Task: `source-inventory` — Inventory SLR projection and coastal exposure data sources for SIDS
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons.
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### 7. Cyclone Early Warning And Evacuation Signal Verification In Bangladesh
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### 6. Cyclone Early Warning And Evacuation Signal Verification In Bangladesh
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- Pack: [`disaster-resilience/cyclone-early-warning-bangladesh`](../../problem-packs/disaster-resilience/cyclone-early-warning-bangladesh/problem.md)
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- Task: `source-inventory` — Inventory cyclone data sources for Bay of Bengal
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 3 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons.
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### 8. PM2.5 Monitoring Gaps And Health Impact In South Asia
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### 7. PM2.5 Monitoring Gaps And Health Impact In South Asia
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- Pack: [`air-quality/pm25-monitoring-south-asia`](../../problem-packs/air-quality/pm25-monitoring-south-asia/problem.md)
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- Task: `source-inventory` — Inventory PM2.5 monitoring and air quality data sources for South Asia
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons.
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### 9. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries
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### 8. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries
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- Pack: [`public-health/antimicrobial-resistance-surveillance-global`](../../problem-packs/public-health/antimicrobial-resistance-surveillance-global/problem.md)
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- Task: `source-inventory` — Inventory AMR surveillance data
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: Five sources classified as usable, limited, or rejected.
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### 10. Malaria Early Warning Signals In Sub-Saharan Africa
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### 9. Malaria Early Warning Signals In Sub-Saharan Africa
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- Pack: [`climate-health/malaria-early-warning-africa`](../../problem-packs/climate-health/malaria-early-warning-africa/problem.md)
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- Task: `source-inventory` — Inventory malaria and climate data sources for Sub-Saharan Africa
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons.
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### 11. Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa
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### 10. Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa
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- Pack: [`food-safety/aflatoxin-exposure-sub-saharan-africa`](../../problem-packs/food-safety/aflatoxin-exposure-sub-saharan-africa/problem.md)
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- Task: `source-inventory` — Inventory mycotoxin test data, climate suitability models, and post-harvest practice surveys for SSA aflatoxin risk mapping
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering contamination test method, geographic grain, crop specificity, sampling frame adequacy, and intervention-relevance.
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### 12. Urban Pluvial Flooding Risk In South Asian Megacities
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### 11. Urban Pluvial Flooding Risk In South Asian Megacities
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- Pack: [`disaster-resilience/urban-flooding-south-asia`](../../problem-packs/disaster-resilience/urban-flooding-south-asia/problem.md)
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- Task: `source-inventory` — Inventory satellite impervious-surface, drainage, rainfall, flood-extent, and population data sources for South Asian megacities
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering resolution, urban accuracy, and drainage-data availability.
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### 12. Substandard And Falsified Medicine Detection And Surveillance Gaps In Low- And Middle-Income Countries
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- Pack: [`public-health/substandard-falsified-medicines-global`](../../problem-packs/public-health/substandard-falsified-medicines-global/problem.md)
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- Task: `source-inventory` — Inventory quality-surveillance, field-survey, market-distribution, and regulatory data sources for SF medicines analysis
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- Risk: `medium`
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- Reviewer needed: `domain-reviewer`
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- Existing evidence records: 4
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- Downstream tasks unlocked: 5
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- Downstream high-risk tasks: 3
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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering sampling frame, test method, geographic grain, supply-chain tier, and substandard-versus-falsified disaggregation status.
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## Unlock Paths
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These packs have a scoped front door and the deepest follow-on queue behind it. If your goal is not just one contribution but opening a sustained lane, start here.
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| Role | Scoped now | Latent backlog | Share of all tasks | Share of latent tasks |
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| ------------------------ | ---------- | -------------- | ------------------ | --------------------- |
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| `implementation-planner` | 0 | 127 | 0.233 | 0.287 |
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| `implementation-planner` | 0 | 127 | 0.233 | 0.286 |
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| `field-reality-reviewer` | 0 | 106 | 0.195 | 0.239 |
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| `red-team-reviewer` | 0 | 105 | 0.193 | 0.237 |
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| `data-cleaner` | 0 | 101 | 0.186 | 0.228 |
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| `literature-scout` | 101 | 4 | 0.193 | 0.009 |
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| `red-team-reviewer` | 0 | 105 | 0.193 | 0.236 |
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| `data-cleaner` | 0 | 101 | 0.186 | 0.227 |
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| `literature-scout` | 100 | 5 | 0.193 | 0.011 |
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## Protocol Alerts
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‎docs/wiki/Index.md‎

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| Packs with accepted claims | 0 |
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| Total evidence records | 326 |
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| Total tasks | 544 |
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| Scoped tasks (ready for work) | 101 |
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| Scoped tasks (ready for work) | 100 |
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| High-risk tasks | 284 |
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## All Problem Packs

‎problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.json‎

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"evidence_type": "dataset",
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"source": {
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"title": "MERRA-2: Modern-Era Retrospective analysis for Research and Applications, version 2",
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"url": "https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/",
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"archive_url": "https://web.archive.org/web/2024/https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/"
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"url": "https://disc.gsfc.nasa.gov/datasets/M2T1NXSLV_5.12.4/summary"
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},
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"source_date": "2015-01-01",
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"access_date": "2026-07-03",

‎problem-packs/public-health/oral-health-access-global/AGENTS.md‎

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# Oral Health Access Pack
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## Overview
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This pack is about evidence readiness for oral health access, not oral disease advocacy. The useful question is whether public sources can support sub-national service-access or workforce-gap analysis in low-income countries without pretending that country-level burden estimates are facility or district data.
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Do not treat a WHO burden fact, a dentist-density country indicator, or a general health-spending denominator as proof of local access. Those sources frame the problem; they do not locate the bottleneck.
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## Key Components
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- `problem.json` and `problem.md`: scope, decision wedge, and baseline facts.
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- `evidence.json` and `evidence.md`: dated source-family records and source-use notes.
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- `datasets.md`: usable, limited, and rejected source classifications.
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- `claims.json`: current falsifiable data-scarcity claim.
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- `tasks.json` and `task-map.md`: work queue and dependency order.
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- `validation.md`: validation, review, and replication gates.
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## Diagrams
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### Flowchart
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```mermaid
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flowchart TD
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A["WHO burden and workforce sources"] --> B["Source inventory"]
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B --> C["Country-by-country survey and source-year extraction"]
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C --> D["Sub-national data availability test"]
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D --> E["Gap analysis only if public grain is sufficient"]
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B -. "Reject country-level proxy as local access proof" .-> F["Boundary note"]
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```
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### Component Diagram
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```mermaid
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flowchart LR
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Evidence["evidence.json"] --> Claim["claims.json"]
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Evidence --> Datasets["datasets.md"]
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Datasets --> Tasks["tasks.json"]
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Claim --> Review["domain review"]
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Tasks --> Validation["validation.md"]
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```
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### Sequence Diagram
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```mermaid
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sequenceDiagram
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participant Agent
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participant Evidence
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participant DatasetInventory
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participant Reviewer
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Agent->>Evidence: Add or repair dated source records
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Agent->>DatasetInventory: Classify usable, limited, rejected
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Agent->>Reviewer: Submit narrow data-availability claim
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Reviewer->>Evidence: Verify URLs, dates, and source scope
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Reviewer->>DatasetInventory: Confirm source classifications
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```

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