MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Healthcare Systems and Practices
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

3,912 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,912 works in the cohort · of 4,299,418page 21 of 79

Labels cover 15 of 3,912 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 3,912 of 3,912 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.

venueno affno abstractunlabeled
10.1016/s1877-7848(12)58776-9
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Le soc du ROC
David Gagnon
2012· article· fr· XYZ. La revue de la nouvelle· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.3917/ris.073.0117
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Autres publications de l'ASPC
2016· article· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Autres publications de l’ASPC
2024· article· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Remerciements pour l’organisation du congrès
Erin Keating, Kathryn Ready, Anne Sechin
2022· article· fr· Lumen Selected Proceedings from the Canadian Society for Eighteenth-Century Studies· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.3917/redp.143.0417
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Autres publications de l’ASPC
2018· article· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0246-1064(19)30084-2
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
6 Is Quebec’s Distinctiveness an Artefact?
Patrick Fournier, André Blais
2023· book-chapter· en· University of Toronto Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sénat - Législation comparée
2023· article· fr· Revue internationale de droit comparé· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canada : Tableaux par pays, 1965-2016
2018· other· fr· Statistiques des recettes publiques· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Nouveau Regard Sur Le Concept De Santé
Jean-Claude Magny
2008· book-chapter· fr· Presses de l'Université du Québec eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Autres publications de l’ASPC
2024· article· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10.3917/rfas.173.0081
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
The Canada Asia Working Group
David Webster
2020· book-chapter· en· University of British Columbia Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1241-8234(00)00021-3
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Avis de décès pour février 2023
2023· article· fr· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Happenings / L'événement - Nursing Informatics
Elizabeth M. Borycki, Noreen Frisch
2013· article· en· Canadian Journal of Nursing Research· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About