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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.

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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Canadian Medical Association Journal
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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.

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.

10,061 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
10,061 works in the cohort · of 4,299,418page 182 of 202

Labels cover 19 of 10,061 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 10,061 of 10,061 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.

affvenueunlabeled
Lessons from a child
Paul Atkison
2017· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Is Canada ready for therapeutic vaccines?
Barbara Sibbald
2017· article· en· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
New owner, but “business as usual” for <i>CMAJ</i>
Barbara Sibbald
2015· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
How accurate is our picture of the pandemic?
Lauren Vogel
2020· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
affvenueunlabeled
Hypoactive market desire disorder
Alan Cassels
2010· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
L’explosion à Beyrouth
Eveline Hitti
2021· article· fr· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The initiation: a patient’s story
Gwendolyn Harwood
2023· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Pica in a patient with schizophrenia
Luigi Iuliano, Iacopo Carbone, Giuseppe Cavallaro
2024· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
OMA mulls legal action over new cuts
Lauren Vogel
2015· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Médecin, sauve-toi toi-même
Tim Graham
2021· article· fr· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Medicare on trial
Lauren Vogel
2014· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Health providers react to Bill C-14
Lauren Vogel
2016· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Fractures du nez
Jess Rhee, Sheena Belisle, Julie E. Strychowsky
2024· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Canadians want seniors care plan
Lauren Vogel
2015· article· en· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Time for more effective masks?
Diana Duong
2021· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Resuscitating the doctors’ lounge
Diana Duong, Lauren Vogel
2023· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Childhood Aleppo boil
Pablo Fernández‐Crehuet, Ricardo Ruíz‐Villaverde
2014· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Trust in translation
Yue Bo Yang
2020· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Illness and metaphor : Confidentiality
Edith Nesbit
2001· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About