Active hypotheses with data_support_score = NULL or 0 lack empirical grounding. Existing task d492747e covers 20 of the 132 total. For the remaining ~100 hypotheses, search the knowledge graph and papers for quantitative data supporting or contradicting each hypothesis, compute a data_support_score (0-1 based on number and strength of empirical data points), and update the hypotheses table.
Verification:
- 100 hypotheses gain non-null data_support_score
- Each score cites specific data sources (paper PMIDs, KG edges)
- d492747e remains active for its original 20
Completion Notes
Auto-release: non-recurring task produced no commits this iteration; requeuing for next cycle