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Run the 100-image real-world reality check and issue go/hold verdict #28

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opened 2026-08-19 01:59:01 +00:00 by timmy · 0 comments
timmy commented 2026-08-19 01:59:01 +00:00
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Parent epic: #3

Outcome

Test whether seven-way Bristol labeling is learnable and consistent before scaling collection.

Acceptance criteria

  • At least two review passes cover ambiguous examples.
  • Agreement, class balance, image-quality failures, and baseline confusion matrix are reported.
  • Verdict is GO, HOLD, or NARROW with evidence and next gate.

Dependencies

  • #27 — Publish dataset card, labeling guide, and contributor-level split policy

Required evidence

  • Test or executable receipt attached to the issue/PR
  • Privacy/safety boundary checked where applicable
  • Clean checkout and relevant full suite pass

Delivery

Open a focused branch and PR with Closes #ISSUE. Do not include real medical images in issue comments or Git history.

Parent epic: #3 ## Outcome Test whether seven-way Bristol labeling is learnable and consistent before scaling collection. ## Acceptance criteria - [ ] At least two review passes cover ambiguous examples. - [ ] Agreement, class balance, image-quality failures, and baseline confusion matrix are reported. - [ ] Verdict is GO, HOLD, or NARROW with evidence and next gate. ## Dependencies - #27 — Publish dataset card, labeling guide, and contributor-level split policy ## Required evidence - Test or executable receipt attached to the issue/PR - Privacy/safety boundary checked where applicable - Clean checkout and relevant full suite pass ## Delivery Open a focused branch and PR with `Closes #ISSUE`. Do not include real medical images in issue comments or Git history.
timmy added this to the M2 — Consented Dataset & Specialist Model milestone 2026-08-19 01:59:01 +00:00
timmy added the type/researchpriority/P0area/modelarea/datahuman-gate labels 2026-08-19 01:59:01 +00:00
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Reference: stackchain/timmy-talking-turd#28