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 Technology
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.

1,065 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.
1,065 works in the cohort · of 4,299,418page 5 of 22

Labels cover 8 of 1,065 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 1,065 of 1,065 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
Obstetric medical care in Canada
Laura A. Magee, Anne‐Marie Côté, Tabassum Firoz, Winnie Sia
2016· article· en· Obstetric Medicine· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Consultations with doctors and nurses.
Gisèle Carrière
2005· article· en· PubMed· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
MD's computer, PDA use on the upswing.
Shelley Martin
2002· article· en· PubMed· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
Reducing waiting times associated with an integrated child health service
D Clow, Ahmed Alsayed Mohammed Mustafa, J Szollár, Nancy Wood, Jordan Reid, Sean Sinden
2002· article· en· The Journal of the Royal Society for the Promotion of Health· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Virtuelle Behandlernetzwerke
Dominik von Stillfried, Tatiana Ermakova, Frank Ng, Thomas Czihal
2017· review· de· Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
afffundvenueaboutunlabeled
Learning and Networking: Utilization of a Primary Care Listserv by Pharmacists
Melanie Trinacty, Barbara Farrell, Theresa J. Schindel, Lisa Sunstrum, Lisa Dolovich, Natalie Kennie‐Kaulbach +2 more
2014· article· en· The Canadian Journal of Hospital Pharmacy· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
12
citations
affno abstractunlabeled
Residency Training Via Videoconference - Satisfaction Survey
Karen I. Kroeker, Ingrid Vicas, David C. Johnson, Brian R. Holroyd, Penny Jennett, Robert Johnston
2000· article· en· Telemedicine Journal and e-Health· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About