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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.

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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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Meta-analysis and systematic reviews
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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.

4,076 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.
4,076 works in the cohort · of 4,299,418page 77 of 82

Labels cover 359 of 4,076 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 4,076 of 4,076 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.

affno abstractunlabeled
Roundtable review and response
David G. Haglund, Alison Holmes, Luca Ratti
2014· article· en· Journal of Transatlantic Studies· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
History of Evidence-Based Surgery (EBS)
Jessica Murphy, Emily Dunn, Sheila Sprague, Charles H. Goldsmith
2025· book-chapter· en· Decision Sciences
machine prediction:candidate · stsconsensus · none
0
citations
venueno affunlabeled
Reply from authors
Sarah Lamb, Yazid N. Al Hamarneh, Sherilyn K. D. Houle, Alexander A. C. Leung, Ross T. Tsuyuki
2018· article· fr· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Basic science statistics
Jeffrey A. Bakal
2025· book-chapter· en· Elsevier eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Historical controlled studies
Turki Al Garni, Amr A. Arafat, Bader Alqarni, Monirah A. Albabtain
2025· book-chapter· en· Elsevier eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply to “is it significant? Is it relevant?”
Mark M. Stecker, Patrizio Pasqualetti, Robert J. Barry, Zafiris J. Daskalakis, Hartwig R. Siebner, Ulf Ziemann
2018· letter· en· Clinical Neurophysiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
History of Clinical Trial Research
Jay Park, J. Kyle Wathen, Edward J. Mills
2023· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · stsconsensus · none
0
citations
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