Pre-registered, version-frozen protocol package for AI-for-Science validation experiments. ITT accounting + decision-anchored MRD + named adjudication. The validation bottleneck, solved.
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Updated
Nov 8, 2026 - Python
Pre-registered, version-frozen protocol package for AI-for-Science validation experiments. ITT accounting + decision-anchored MRD + named adjudication. The validation bottleneck, solved.
Experimentation framework for synthetic accounting data with seven statistical designs, reproducible assignments, causal analysis, guardrails, power checks, and decision reporting.
Measures how badly a per-event significance test misreads a per-user experiment. Over 2000 A/A replicates the naive test claims an effect in 0.191 of them against a nominal 0.05. Prices what fixing it costs in power. Offline, seeded, reproducible in one command.
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