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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Hospital Admissions and Outcomes
Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

820 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
820 works in the cohort · of 4,299,418page 3 of 17

Labels cover 1 of 820 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 820 of 820 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Morning Handover of On-Call Issues
Megan K Devlin, Natalie K. Kozij, Alex Kiss, Lisa Richardson, Brian M. Wong
2014· article· en· JAMA Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
The enigma of the weekend effect
Anoop Mathew, Saad Fyyaz, Paul Richard Carter, Rahul Potluri
2018· letter· en· Journal of Thoracic Disease· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
I-PASS Handoff Curriculum: Faculty Observation Tools
Amy J. Starmer, Christopher P. Landrigan, Rajendu Srivastava, Karen M. Wilson, April D. Allen, Sanjay Mahant +6 more
2013· article· en· MedEdPORTAL· Medicine
machine prediction:candidate · noneconsensus · none
28
citations
affno abstractunlabeled
The Impact of Fatigue on Patient Safety
Christopher S. Parshuram
2006· review· en· Pediatric Clinics of North America· Medicine
machine prediction:candidate · noneconsensus · none
27
citations
affaboutunlabeled
Learner Handover: Who Is It Really For?
Susan Humphrey‐Murto, Lorelei Lingard, Lara Varpio, Christopher Watling, Shiphra Ginsburg, Scott Rauscher +1 more
2020· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
26
citations

How this was built: Screen · Findings · About