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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
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 24 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.

affaboutunlabeled
Emerging assault on freedom of conscience.
Stephen J. Genuis
2016· article· en· PubMed· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Less Than the Truth
Timothy Rowe
2013· editorial· en· Journal of Obstetrics and Gynaecology Canada· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Enlightened self-interest
George L. Spaeth
2011· letter· en· Canadian Journal of Ophthalmology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
MD's $2.5-million libel award upheld
Patrick Sullivan
2002· article· en· PubMed Central· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Clinical Trials Comparing Topical Prostaglandins: Potential Industry Bias
Tariq Alasbali, Ya-Ping Jin, Graham E. Trope, Noa Geffen, Matthew Smith, J. G. Flanagan +1 more
2008· article· en· Investigative Ophthalmology & Visual Science· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affunlabeled
Fatigue - CC
2021· dataset· en· Borealis· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On clinical research and the pharmaceutical industry
Patricio Santillán‐Doherty, Rogelio Pérez‐Padilla
2023· article· en· Gaceta Médica de México· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
The Business of Selling Treatments
Anne Katz
2004· editorial· en· AWHONN Lifelines· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Pushback on drug ads
Roger Collier
2016· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
In wake of 9/11, drug-patent rules change.
Lynda Buske
2002· article· en· PubMed· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Minority of doctors block CMA diversity overhaul
Diana Duong
2021· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
How to disentangle doctors and drug companies
Raymond Moynihan
2007· article· en· Open medicine· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
affunlabeled
Prescribing in the Absence of Medical Need
Éric Frénette
2008· article· en· The AMA Journal of Ethic· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nancy Olivieri: Sometimes, truth has only one face
Sandhya Srinivasan
2024· article· en· Indian Journal of Medical Ethics· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · research_integrityconsensus · none
0
citations
aboutno affunlabeled
Friends with benefits: Are They Really Beneficial?
Marina Nekić, Ivana Garilovic, Marina Vidakovic
2017· article· en· The Journal of Sexual Medicine· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Format less, publish more with flexible formatting
Nicholas Fabiano, Antonina Mikocka‐Walus, Jess G. Fiedorowicz
2023· editorial· en· Journal of Psychosomatic Research· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
0
citations

How this was built: Screen · Findings · About