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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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Healthcare cost, quality, practices
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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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

1,204 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.
1,204 works in the cohort · of 4,299,418page 17 of 25

Labels cover 31 of 1,204 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 1,204 of 1,204 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.

afffundvenueno abstractunlabeled
In Response
Graeme N. Smith, Susie Pakenham, Susan Chamberlain
2007· article· en· Journal of Obstetrics and Gynaecology Canada· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Anne Nguyen Coordinator
2001· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Editorial
Chris Roseveare
2007· editorial· en· Acute Medicine Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Examples from Clinical Practice
Simone van Dulmen, Daniëlle Kroon, Kyle R. Kirkham, Johanna Caro Mendivelso
2023· other· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(09)70005-3
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(06)71691-3
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
RETIRED: Cost-Effectiveness
Édith Guilbert, James Trussell
2007· article· en· Journal of Obstetrics and Gynaecology Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Choosing Wisely in the Context of Corporate Influence
Quinn Grundy
2019· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affno abstractunlabeled
Choosing Wisely Canada call for abstracts- 2021
Editor CUAJ
2020· article· en· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Unnecessary uncertainty is unacceptable
Cornelia J. Baines
2012· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A sorry tale of unnecessary secrecy about medicine safety
Barbara Mintzes, Alice L Bhasale, Marc Torka, Ruth Lopert, Sallie‐Anne Pearson, Joel Lexchin +1 more
2021· letter· en· Internal Medicine Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(06)71156-5
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Reply to Philipp Dahm, Vikram Narayan, and Jae Hung Jung's Letter to the Editor re: Richard J. Sylvester, Steven E. Canfield, Thomas B.L. Lam, et al. Conflict of Evidence: Resolving Discrepancies When Findings from Randomized Controlled Trials and Meta-analyses Disagree. Eur Urol 2017;71:811–9
Thomas Lam, Richard Sylvester, Steven E. Canfield, Lorenzo Marconi, Steven MacLennan, Yuhong Yuan +2 more
2017· letter· en· European Urology· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
In Reply to Leon-Carlyle and colleagues
Daniel Wolfson
2015· letter· en· Academic Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About