Expert-Attention Handoff Triage: retrospective scarcity benchmark
Question: Can pre-expert triage increase useful evaluation yield under constrained review capacity without unacceptable false negatives, status bias or presentation sensitivity?
Prior-art result: Generic pre-filtering, AI idea screening, editorial triage, selective prediction, learning to defer, active learning and value-of-information are established. The possible contribution is a claim-sensitive allocation benchmark and test.
Current finding: Phase 0 has begun. PeerRead contains usable pre-review text, decisions and reviewer fields, but duplicate review entries have already been observed and must be audited before modelling.
Next: Complete and freeze the PeerRead feasibility audit, data dictionary and leakage-safe analysis corpus before fitting any triage model.
Current scarcity: data quality and validity of retrospective proxies