MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
BMJ
Topic
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.

2,802 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.
2,802 works in the cohort · of 4,299,418page 56 of 57

Labels cover 38 of 2,802 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 2,802 of 2,802 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.

aboutno affunlabeled
Anthony Lethbridge Wells
Monica Latham
2013· article· en· BMJ· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Irish juniors defer their strike
Doug Payne
2000· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Too posh to infect?
Tod Dalrymple
2008· article· de· BMJ· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Deryck Michael Denys Lambert
J. Lambert
2009· article· en· BMJ· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Popcorn universalis
Hedva Chiu, Guy Trudel
2022· article· en· BMJ· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Barrie R Jones
P. K Leaver
2009· article· en· BMJ
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Harry Potter MD
Eric Cadesky, Sjoerd Borst
2002· article· de· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Jean Ross Colston
Michael T. Shipley
2021· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
RAPID RESPONSES FROM BMJ.COM
2002· article· en· BMJ· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Everything I Could Buy on eBay about Malaria
Claire McKenna
2002· article· en· BMJ· Business, Management and Accounting
machine prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Predicting mental illness in soldiers
Matthew P. Newton Ede, Su-Wen Goh
2006· letter· en· BMJ· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Need to be implemented in UK
Elina Hyppönen, Barbara J. Boucher
2011· letter· en· BMJ· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Facilitating the Canadian rule
M. Wiese, John I. Allen, Vivek Pillai
2008· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
James Shiels Jeffrey
Carol Smith
2007· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Authors' reply
Doson Chua, Andrew Ignaszewski
2009· article· en· BMJ· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · 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
aboutno affunlabeled
Hotel Rwanda
Chloe Veltman
2005· article· de· BMJ· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutno abstractunlabeled
A career as a Canadian psychiatrist
Amin Muhammad Gadit
2006· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
[no title]
S Saour, P Mohanna, M Ho-Asjoe
2009· article· en· BMJ
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Cronkhite-Canada syndrome
Yi Chen, Lin Li
2020· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Harold Francis Hope-Stone
J. P. BLANDY
2008· article· en· BMJ· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Regulatory data are hidden in plain sight
Harriet Rosenberg, Adrienne Shnier
2017· letter· en· BMJ· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
aboutno affunlabeled
An unexpected response
A. Mark Clarfield
2006· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Are you an irritating colleague?
Catherine K. Lau
2006· article· en· BMJ· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About