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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
fundfunder
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 17 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.

affno abstractunlabeled
Non-financial conflicts of interest
Saroj Niraula, Ian F. Tannock
2025· review· en· Nature Reviews Clinical Oncology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
2
citations
affunlabeled
Physician compliance and market demographics
Lynne Tudhope, Mélani Prinsloo, Leyland Pitt, Bradley R. Barnes
2007· article· en· Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Our Policy on Conflict of Interest
2005· article· en· Epidemiology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
2
citations
affno abstractunlabeled
Apparent conflicts of interest do not preclude scientific rigor
Tauseef Khan, Laura Chiavaroli, Richard P. Bazinet, John L. Sievenpiper
2020· letter· en· American Journal of Clinical Nutrition· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
2
citations
affno abstractunlabeled
Education and Training: An Introduction
Nady el‐Guebaly, Cornelis A. J. De Jong
2014· book-chapter· en· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Doctors and medical industry
Alex V. Levin
2008· article· en· Paediatrics & Child Health· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Conflict of Interest: Legal and Ethical Aspects
Bernard M. Dickens, Rebecca J. Cook
2006· article· en· SSRN Electronic Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · research_integrityconsensus · none
1
citations
aboutno affunlabeled
Whatever happened to the annual pap smear?
Marguerite B. Vigliani
2013· article· en· PubMed· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Trouver son intérêt, ou le perdre ?
Éric Gagnon, Béatrice Eysermann
2012· article· fr· Éthique Publique· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Competing interests are a complex problem
Roger Collier
2015· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
1
citations
affno abstractunlabeled
To the Editor
Aldo Baumgartner
2000· article· en· Journal SOGC· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Self-Study of Values, Beliefs, and Conflict of Interest
Rhoda Reardon, Scott Haldeman
2009· article· en· Journal of Manipulative and Physiological Therapeutics· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
1
citations
affunlabeled
Medical Ethics and Economic Medicalization
Geoffrey Poitras
2012· book-chapter· en· InTech eBooks· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Authorship Diversity in General Surgery Related Cochrane Systematic Reviews
Arkadeep Dhali, Vincent Kipkorir, Christopher D’Souza, Roger B Rathna, Jyotirmoy Biswas
2022· article· en· International Journal of Medical Students· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
1
citations

How this was built: Screen · Findings · About