fix: surface lab result data origin (#27)

Merged after self-review and focused verification. Full-suite limitations remain documented in the PR.

Author: streamentry

docs/evidence/METRICS_CURRENT.md

@@ -5,9 +5,9 @@ Machine-readable snapshot: `outputs/metrics_snapshot.json` regenerated with `mak
 > **Purpose:** One authoritative table of current pipeline metrics. If any doc disagrees
 > with this file, this file wins. Updated whenever benchmark/benchmark config changes.
 >
-> **Last updated:** 2026-08-18 (canonical V4 packet validator/schema parity; benchmark values unchanged)
+> **Last updated:** 2026-08-21 (standalone lab-result data-origin visibility; benchmark values unchanged)
 
-> **Current verification note (2026-08-18):** Phase AA AA6 exposes the AARG-
+> **Current verification note (2026-08-21):** Phase AA AA6 exposes the AARG-
 > reproducibility aggregate through a repeatable CLI/make workflow, while Phase
 > AB AB5 exposes the ABAG- claim-integrity aggregate, Phase AC AC3 exposes the
 > ACDG- aggregate, Phase Y Y5 exposes the YAG- aggregate, and Phase Z Z5
@@ -100,7 +100,7 @@ Machine-readable snapshot: `outputs/metrics_snapshot.json` regenerated with `mak
 > Phase AC AC3 exposes the ACDG-
 > aggregate disconfirming-evidence gate as a repeatable CLI/make workflow. It
 > has 18 focused gate tests plus 2 CLI integration tests. Full pytest
-> collection succeeds at 12,416 tests; the live count is enforced by the
+> collection succeeds at 12,417 tests; the live count is enforced by the
 > current-state alignment test. This artifact does not establish
 > biological validation or benchmark improvement.
 
@@ -232,6 +232,14 @@ Machine-readable snapshot: `outputs/metrics_snapshot.json` regenerated with `mak
 - This is provenance visibility only; legacy results remain accepted and no
   recalibration or biological claim policy changed.
 
+### External-result reporting integrity — expose data origin in every report
+- Standalone `lab-result-report` JSON and Markdown outputs now include the
+  shared `data_origin` summary used by calibration intake.
+- Synthetic labels are visible by result ID, and unclassified records remain
+  explicitly unclassified rather than being inferred to be real wet-lab evidence.
+- This is audit visibility only; it does not validate assay contents, authenticate
+  the performing lab, establish biological evidence, or authorize recalibration.
+
 ### External-result reporting integrity — opt-in raw-file hash verification
 - Added `verify_raw_data_provenance()` and an optional `raw_data_file` field to
   bind a declared SHA-256 to independently hashed bytes under a supplied

docs/research/ROADMAP.md

@@ -1,6 +1,6 @@
 # Roadmap
 
-## Current state — 2026-08-18
+## Current state — 2026-08-21
 
 Phase AB is complete as of 2026-07-26. AB5 exposes the existing CSD-, RDR-,
 EGN-, and EHP- claim-integrity artifacts through an ABAG- aggregate, CLI
@@ -169,6 +169,14 @@ CLI-generated packets. This is packaging integrity only; it does not
 authenticate artifacts or reviewers, validate science, or establish biological
 evidence.
 
+On 2026-08-21, standalone `lab-result-report` JSON and Markdown outputs began
+carrying the shared data-origin summary used by calibration intake. Synthetic
+labels are therefore visible in both result-reporting paths, while unclassified
+records remain explicitly unclassified rather than being presented as verified
+wet-lab evidence. This closes an intake-audit visibility gap; it does not
+validate assay contents, authenticate a lab, establish biology, or permit
+recalibration.
+
 This file is the current milestone authority. The older
 [`50_LOOP_PLAN.md`](50_LOOP_PLAN.md) is a historical execution record, not a
 live status page. Select the next bottleneck from

src/openamp_foundry/reports/AGENTS.md

@@ -7,11 +7,12 @@ review artifacts without strengthening scientific claims.
 
 ## Key Components
 
-- `lab_result_report.py`: result counts, candidate rollups, controls, and input
-  validation blockers. Markdown and JSON distinguish control-passing outcome
-  counts from raw audit observations, including failed-control qualitative
-  results. They also show declared raw-data hash coverage without calling it
-  independently verified.
+- `lab_result_report.py`: result counts, candidate rollups, controls, data-origin
+  status, and input validation blockers. Markdown and JSON distinguish
+  control-passing outcome counts from raw audit observations, including
+  failed-control qualitative results. They also show synthetic/unclassified
+  origin and declared raw-data hash coverage without calling either biological
+  provenance or a declared hash independently verified.
 - `recalibration_report.py`: proposal/gate summaries; proposals are not applied.
 
 ## Diagrams (Mermaid)

src/openamp_foundry/reports/lab_result_report.py

@@ -16,6 +16,7 @@
     candidate_result_map,
     duplicate_result_ids,
     load_lab_results_dir_with_errors,
+    summarise_data_origin,
     summarise_candidate_outcomes,
     summarise_lab_results,
     verify_raw_data_provenance,
@@ -28,6 +29,7 @@ def build_lab_result_report(
     """Build a machine-readable wet-lab result report from a directory of JSON files."""
     results, invalid_lab_result_files = load_lab_results_dir_with_errors(results_dir)
     summary = summarise_lab_results(results)
+    data_origin = summarise_data_origin(results)
     by_candidate = summarise_candidate_outcomes(results)
     duplicate_ids = duplicate_result_ids(results)
     raw_data_provenance = verify_raw_data_provenance(results, raw_data_dir)
@@ -49,6 +51,7 @@ def build_lab_result_report(
 
     return {
         "summary": summary,
+        "data_origin": data_origin,
         "raw_data_provenance": raw_data_provenance,
         "raw_data_verification_issues": raw_data_provenance["verification_issues"],
         "n_invalid_lab_result_files": len(invalid_lab_result_files),
@@ -97,6 +100,8 @@ def write_lab_result_markdown(report: dict[str, Any], out_path: str | Path) -> N
         f"- Results with both controls passing: {s.get('n_valid_controls', 0)}",
         f"- Invalid result files: {report.get('n_invalid_lab_result_files', 0)}",
         f"- Duplicate result IDs: {report.get('n_duplicate_lab_result_ids', 0)}",
+        f"- Data-origin status: {report.get('data_origin', {}).get('status', 'unclassified')}",
+        f"- Synthetic results: {report.get('data_origin', {}).get('n_synthetic_results', 0)}",
         f"- Raw-data hash coverage: {raw_data_status}",
         f"- Raw-data hash verification: {report.get('raw_data_provenance', {}).get('verification_status', 'not_requested')}",
         "",

tests/integration/test_cli.py

@@ -997,14 +997,59 @@ def test_lab_result_report_creates_outputs(tmp_path, capsys):
     assert "toxic" not in report["summary"]["by_usable_qualitative_result"]
     assert report["n_candidates"] == 1
     assert len(report["control_failures"]) == 1
+    assert report["data_origin"]["status"] == "unclassified"
+    assert report["data_origin"]["n_synthetic_results"] == 0
     text = out_md.read_text(encoding="utf-8")
     assert "Wet-Lab Result Report" in text
     assert "Usable Qualitative Outcome Counts" in text
     assert "Raw Qualitative Observations (Audit Only)" in text
+    assert "Data-origin status: unclassified" in text
     assert "CAND-001" in text
     assert "RES-002" in text
 
 
+def test_lab_result_report_surfaces_synthetic_origin(tmp_path):
+    results_dir = tmp_path / "lab_results"
+    results_dir.mkdir()
+    result = {
+        "result_id": "RES-SYNTHETIC-001",
+        "candidate_id": "SYNTHETIC-CAND-001",
+        "assay_type": "MIC",
+        "organism_or_cell_line": "SYNTHETIC TEST - E. coli",
+        "result_value": 8.0,
+        "result_unit": "µg/mL",
+        "result_qualitative": "active",
+        "positive_control_passed": True,
+        "negative_control_passed": True,
+        "assay_date": "2026-07-01",
+        "replicate_count": 1,
+        "performed_by_lab": "SYNTHETIC TEST - fixture",
+        "raw_data_sha256": None,
+        "computational_candidate_certificate_hash": "abc123def456",
+        "notes": "SYNTHETIC TEST DATA - not a real assay.",
+        "disclaimer": (
+            "SYNTHETIC TEST. This is not a real experimental result on a "
+            "computationally nominated candidate and does not constitute a "
+            "drug or clinical claim."
+        ),
+    }
+    (results_dir / "synthetic.json").write_text(json.dumps(result), encoding="utf-8")
+
+    from openamp_foundry.reports.lab_result_report import (
+        build_lab_result_report,
+        write_lab_result_markdown,
+    )
+
+    report = build_lab_result_report(results_dir)
+    assert report["data_origin"]["status"] == "synthetic_present"
+    assert report["data_origin"]["n_synthetic_results"] == 1
+    assert report["data_origin"]["synthetic_result_ids"] == ["RES-SYNTHETIC-001"]
+
+    out_md = tmp_path / "report.md"
+    write_lab_result_markdown(report, out_md)
+    assert "Data-origin status: synthetic_present" in out_md.read_text(encoding="utf-8")
+
+
 def test_lab_result_report_blocks_invalid_files(tmp_path, capsys):
     results_dir = tmp_path / "lab_results"
     results_dir.mkdir()