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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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Mental Health and Patient Involvement
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.

2,997 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.
2,997 works in the cohort · of 4,299,418page 46 of 60

Labels cover 48 of 2,997 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 2,997 of 2,997 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.

affunlabeled
Editorial: Destination Mad Studies
2016· article· en· The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Patient and public involvement in research: practical experiences from different settings
Egmar (org.) Longo, Paula Silva de Carvalho Chagas, Adriana Barbosa Sales de Magalhães, Christina Danielli Coelho de Morais Faria, Vanessa Vega Córdova, Kate Sturgeon +38 more
2025· book· en· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Patients and public involvement in research
Egmar (org.) Longo, Paula Silva de Carvalho Chagas, Adriana Barbosa Sales de Magalhães, Christina Danielli Coelho de Morais Faria, Karolinne Souza Monteiro, Isabelly Cristina Rodrigues (org.) Regalado +6 more
2024· book· en· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affunlabeled
Resistance, release
Lorinda Spooner
2023· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Items validation.
2025· article· Figshare· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affunlabeled
Closing time for<i>CMAJ Open</i>
Erin Russell
2023· editorial· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Delphi survey.
2025· article· Figshare· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About