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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
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 16 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
The Value of Patient Care in the New Economy
Darlene R. Desir, Nile M. Khanfar, Catherine Harrington, David L. Loudon
2011· article· en· Journal of Management and Strategy· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
Experts blame feds for pharma corruption
Lauren Vogel
2017· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Discussion
Edward A. Luce
2015· letter· en· Plastic & Reconstructive Surgery· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
LETTERS TO THE EDITOR
Kenneth D Boffard, Yoram Kluger, Bruno Riou, Sandro Rizoli, Rolf Rossaint, Brian Warren
2006· article· en· The Journal of Trauma: Injury, Infection, and Critical Care· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
Revisiting the Pharmakon
Marcel O’Gorman
2022· article· en· Media theory.· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Bioethics in a clinic for women with psychosis
Mary V. Seeman, Bob Seeman
2011· article· en· Journal of Medical Ethics· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Conflict of interest disclosure by US cardiothoracic surgeons
Dyanna Melo, Taufiq Islam, Khadija Nasser, Eric L.R. Bédard, Simon R. Turner
2024· article· en· World Journal of Surgery· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
2
citations
aboutno affunlabeled
How honest can a medical journal be?
Trish Groves
2006· editorial· en· Australian and New Zealand Journal of Obstetrics and Gynaecology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
2
citations
affno abstractunlabeled
Conflict of Interest? What conflict of interest?
Thomas Steffen
2008· article· en· European Spine Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · research_integrityconsensus · none
2
citations
affunlabeled
Public Understanding of Risk and Benefit of Mifepristone
Tamar Krishnamurti, Gianna White, Barry Dewitt, Elizabeth A. Mosley, Baruch Fischhoff
2025· article· en· JAMA Network Open· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
La psychiatrie sous influence
Louise Mallette
2003· article· fr· Santé mentale au Québec· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
How DTCA Influences Prescription Pharmaceutical Markets
Demetrios Vakratsas, Ceren Kolsarici
2013· book-chapter· en· International series in quantitative marketing· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About