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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.

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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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Pharmaceutical industry and healthcare
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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.

1,489 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,489 works in the cohort · of 4,299,418page 27 of 30

Labels cover 35 of 1,489 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 1,489 of 1,489 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 affunlabeled
Election 2015: new arguments for pharmacare
Lauren Vogel
2015· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Health Care-industrial Complex
Robert J. Isaacson
2009· editorial· en· The Angle Orthodontist· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Biographic and Disclosure Information
2012· article· en· Kidney International Supplements· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Getting Out of the Reporting Rut
Meghan McDevitt
2019· article· en· Science Editor· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
aboutno affunlabeled
Shining a little light on peer review debates
John W. Davis
2022· editorial· en· BJUI Compass· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
venueno affno abstractunlabeled
Society News
Jacques Genest
2018· article· en· Canadian Journal of Cardiology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
References
2004· article· en· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
Authorship in medical education
Marcel D’Eon
2025· editorial· en· Canadian Medical Education Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
aboutno affno abstractunlabeled
Medicating Canada before Regulation
2015· book-chapter· en· University of British Columbia Press eBooks· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
A Review of Canadian Medical School Conflict of Interest Policies
Michael G. R. Beyaert, Jatinder Takhar, David R. Dixon, Margaret J. Steele, Leanna Isserlin, Carla Pascual Garcia +2 more
2013· review· en· Creative Education· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
aboutno affunlabeled
Drugs to avoid
2023· article· en· Open Collections· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.yort.2014.04.029
2000· article· en· Time to knit· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Canada’s own “Dr. Safety”
D. M. U.
2011· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
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