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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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Pharmacogenetics and Drug Metabolism
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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.

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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.

1,519 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.
1,519 works in the cohort · of 4,299,418page 16 of 31

Labels cover 3 of 1,519 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 1,519 of 1,519 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
Biologically active metabolites in drug discovery
Shaoyi Sun, Steven S. Wesolowski
2021· review· en· Bioorganic & Medicinal Chemistry Letters· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Characterization and expression of extrahepatic CYP2S1
Subrata Deb, Stelvio M. Bandiera
2009· review· en· Expert Opinion on Drug Metabolism & Toxicology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Predicting warfarin dose
Alejandro Lazo‐Langner, Michael J. Kovacs
2010· review· en· Current Opinion in Pulmonary Medicine· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
PharmVar GeneFocus: <i>CYP2A6</i>
Alec W. R. Langlois, Meghan J. Chenoweth, David Twesigomwe, Giada Scantamburlo, Michelle Whirl‐Carrillo, Katrin Sangkuhl +4 more
2024· review· en· Clinical Pharmacology & Therapeutics· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
Evaluation of buccal swabs for pharmacogenetics
J. Sidney Ang, M.N. Aloise, Diana Dawes, Maryn G. Dempster, Robert Fraser, Andrea Paterson +4 more
2018· article· en· BMC Research Notes· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
13
citations

How this was built: Screen · Findings · About