Comparison

Four Cases Inform Different Measures for Topic and Link Review

Proposed application of separate topic/link review (1Cademy’s undated page, retrieved 9 November 2026): PRiMER’s partial-year 381/147/112 invitation stages motivate request, acceptance and delivery logs for each decision type, not unique-reviewer totals. Chen’s 1,603 willing experts versus 512 commenters motivate recording delivered judgments, not just offers; pooled message groups cannot identify a message effect. Screening’s 33-hour crowd completion and reported 410-hour team time motivate checking the time basis and recording summed working time, repeated judgments and setup alongside elapsed time. Gallus’s roughly 42-versus-35 first-month returners per 100 concern screened newcomers after exclusions: track return separately from recruitment and correctness. Candidate evaluation: count content/link judgments and corrections separately; have specialists independently assess scrutiny of unfamiliar AI research; log authoring, training, review and maintenance effort. These are measurement proposals, not pooled capacity rates or demonstrated 1Cademy benefits.

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Updated 2026-11-09

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Scientific Oversight of AI-Assisted Research

1Cademy