Market oracle & edge
The independenthalf of the ground-truth loop. Prediction markets resolve theses objectively (no milestone circularity). Below: every LLM-matched thesis↔market pair with the thesis probability vs the market-implied probability (sorted by absolute divergence), and the realized Brier of our thesis prob vs the market's, measured only on pairs whose market has actually resolved. Coverage is intentionally narrow — only ~5-10% of theses cleanly match a market — so this is a secondary, AI/markets-concentrated oracle, not a general resolver.
Thesis ↔ market divergence
| Thesis | Venue | Domain | Match | Conf | Thesis p | Market p | Divergence |
|---|---|---|---|---|---|---|---|
| No matched thesis↔market pairs with a divergence snapshot yet. | |||||||
Divergence = thesis_prob − market_implied (orientation-adjusted). Large |divergence| is where our belief most disagrees with the crowd — a candidate edge OR a mismatch the matcher should re-examine.
Edge by domain
| Domain | Resolved (n) | Brier (thesis) | Brier (market) | Edge |
|---|---|---|---|---|
| No resolved + identity-matched pairs yet — the edge is unmeasurable until matched markets resolve. | ||||
Edge > 0 (green): our thesis prob was better-calibrated than the market on resolved questions in that domain. Small n is the headline caveat. Market-implied falls back to thesis prob only when no implied snapshot was stored at resolution (so a 0 edge there means "no comparator", not "tie").