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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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Annals of Internal Medicine
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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.

865 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
865 works in the cohort · of 4,299,418page 13 of 18

Labels cover 1 of 865 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 865 of 865 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
Reflections on Medical Journals
David Moher
2002· letter· en· Annals of Internal Medicine· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
1
citations
affunlabeled
Nephrology: What You May Have Missed in 2023
Ali A.M. AlHabobi, Ashwaq Menwer Almutairi, Danah A.S.Y. Bohemid, Ashwini R. Sehgal
2024· article· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Guidelines for Persons With HIV
Evan Wood, Julio Montaner
2012· letter· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Cardiology: What You May Have Missed in 2023
Abdulrahman Alfraih, Achieng Tago, Michael A. LaCombe, William G. Kussmaul
2024· article· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
The Healing Touch
Lucie Opatrny
2002· article· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Oncology: What You May Have Missed in 2024
Zainab Al Maqrashi, Sze Wah Samuel Chan, Zeba Siddiqui, Efrat Dotan
2025· review· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Annals Story Slam - On Raking Sand
Arno K. Kumagai
2017· article· en· Annals of Internal Medicine· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Defibrillators and Sudden Death
Justin A. Ezekowitz, Finlay A. McAlister, Paul W. Armstrong
2003· article· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Annals for Educators - 21 May 2019
Darren B. Taichman
2019· article· en· Annals of Internal Medicine· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Commentary: Paranoia over Privacy
Sylvia R. Cruess, Richard L. Cruess
2006· article· en· Annals of Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About