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
Primary Care and Health Outcomes
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.

4,685 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.
4,685 works in the cohort · of 4,299,418page 73 of 94

Labels cover 32 of 4,685 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 4,685 of 4,685 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
[no title]
Mel Krass, Jill Aichele
2016· article· fr· PubMed· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Specialty care review and reform.
Collins-Nakai Rl
2000· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Whence the Readers' Advisory Panel?
Jennifer Thomas
2004· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Teaching chest radiology.
Ronald E. Pust
2006· letter· en· PubMed· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Room for a view: Disclosure
Stephen Workman
2003· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Thank you for recognizing Dr Patten.
Heather Langille
2013· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Recrutement de pratiques
Jyoti Kotecha, Wayne Putnam, Richard Birtwhistle, Marie‐Thérèse Lussier, Anika Nagpurkar
2012· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
What I Learned in Calgary Visit
誉 早乙女
2011· article· ja· スポーツ科学研究· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
La question de la santé publique
Bart J. Harvey
2009· article· en· PubMed Central· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Shaping Canadian Healthcare Alignment
Hugh MacLeod and Dr. Jack Kitts
2013· article· en· Insights (Essays)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
L’année qui fut
Cal Gutkin
2011· article· fr· Canadian Family Physician· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundvenueaboutunlabeled
Clinician's Commentary on Maharaj et al.
Sarah Wojkowski, Julie Richardson
2018· letter· en· Physiotherapy Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Manitoba Centre for Health Policy (MCHP)
Jennifer Enns, Leslie Roos
2023· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Educating for equity care framework
Lynden Crowshoe, Rita Henderson, Kristen Jacklin, Betty Calam, Leah Walker, Michael Green
2019· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(12)70249-x
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Faculty belonging may be more important than we realize
Jaspal Singh, Roshell Muir, Yasmain Rice‐Greene, Joshua C. Patt, Cara J Haberman, Julie K. Silver
2025· letter· en· Canadian Medical Education Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Using Skills, Not Pills
Matt Bologna
2021· article· en· Carleton Perspectives on Public Policy· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hubert John (“Paddy”) Warrick
Mary Martin
2006· article· en· BMJ· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
Highlighting the Benefits of a Team Approach
Rosemary Killeen
2007· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About