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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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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
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venuejournal
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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
Evidence
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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 26 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 affno abstractunlabeled
10.1016/s0029-7437(10)70253-6
2000· article· en· Time to knit· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
News and analysis
2016· article· en· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Response to Letter from Bero et al.
Mário J. Soares, Markus-Michael Müller, Thomas M.S. Wolever
2019· letter· en· European Journal of Clinical Nutrition· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Ghost Busting, Taking the Sheet Off the Ghost
Robert J. Moots, Kate Wilson, Earl D. Silverman
2016· editorial· en· The Journal of Rheumatology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(11)70427-6
2000· article· en· Time to knit· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Dualities: Conflicts of Interest
2013· article· en· Canadian Journal of Diabetes· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · research_integrityconsensus · none
0
citations
aboutno affunlabeled
Three common misconceptions about the FDA
Daniela Drago
2019· article· en· JAAPA· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conflicts of interest in invasive brain stimulation research
Fabiano A. Gomes, Elisa Brietzke
2022· letter· en· Brazilian Journal of Psychiatry· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
aboutno affunlabeled
321 EVIDENCE-BASED ADVERTISING IN RHEUMATOLOGY.
Eric L. Simpson, M. Panda, Raymond J. Enzenauer
2006· article· en· Journal of Investigative Medicine· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Promotion campaigns in Canada, Germany, New Zealand and USA
Wolfgang Fischer, Andrea Intsch, John Knight, Erich Krausbeck
2007· book-chapter· en· ResearchOnline at James Cook University (James Cook University)· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
EDITORIAL COMMENT
Ahmed Ibrahim, Serge Carrier
2020· editorial· es· Urology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Industry-Sponsored Research in Minimally Invasive Surgery
Togas Tulandi, Seang Lin Tan
2001· editorial· en· The Journal of the American Association of Gynecologic Laparoscopists· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
0
citations
affaboutno abstractunlabeled
“Pay for Value”: Blockchain for Drug Pricing in Canada
Precilia Kong, Chang Lu, C. Reyes-de la Cruz
2023· book-chapter· en· Future of business and finance· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
This file contains all the supporting files.
2023· article· en· Figshare· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Minding Our “Ps” and “Qs”!
R. Allan Purdy
2006· letter· en· Headache The Journal of Head and Face Pain· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Conflicts of interest statement.
2024· article· en· Figshare· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About