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Description
Description
Verify all 8 success criteria from the roadmap are met before marking the system as crucible-ready.
Success Criteria Checklist
- Data realism: Model trained on 1000+ real alloys from Materials Project with clear stability criterion (E_hull ≤ 0.1)
- Physics transparency: Can see WHY a material is recommended (thermodynamic stability, synthesizability probability, equipment fit, cost-benefit)
- Composition validity: CSV tells exactly how many grams of each element to weigh for 100g batch
- Uncertainty bounds: High-confidence vs exploratory candidates clearly flagged, with in-distribution status
- Export precision: Can print CSV and walk into shop with concrete plan
- Feedback closure: Outcomes (success/failure) are logged and influence future predictions
- Model transparency: Can see accuracy, precision, recall, CV metrics in Model Diagnostics
- Equipment match: Recommendations fit actual equipment (arc melter, furnace, etc.)
Verification Steps
- Review each criterion systematically
- Document evidence for each (screenshot, log output, CSV sample)
- Get sign-off from at least one metallurgist or domain expert
- Create final validation report
Acceptance Criteria
- All 8 criteria are demonstrably met
- Documentation proves each criterion
- System is ready for real-world use
Estimate: 1 hour
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