Trained Calibration

TML's recipe for making calibration a first-class RL target: proper scoring rules on resolved real-world questions, abstention-aware QA rewards where answering only pays when likely right, and a dual rubric+claims grader whose web-searching claims-verifier counters rubric fact-spraying — with forecasting benchmarks (ForecastBench, Prophet Arena) as the resulting eval