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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.

affaffiliation
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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 21 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
Pharmakogenetik in der Psychiatrie: eine Standortbestimmung
D Müller, Eva J. Brandl, Franziska Degenhardt, Katharina Domschke, Hans J. Grabe, Oliver Gruber +10 more
2018· review· de· Der Nervenarzt· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
The discovery of Captopril: reply
Haralambos Gavras
2004· letter· en· The FASEB Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Pharmacogenetics in primary care
Martin Dawes
2020· article· en· Healthcare Management Forum· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Psychiatry pharmacogenomics: Africans are not at the table
Frances Adiukwu, Emmanuel Aniekan Essien, Olufisayo Adesokun, Sandra Ofori
2023· letter· en· The Lancet Psychiatry· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · open_scienceconsensus · none
5
citations
affunlabeled
Exploring the impact of CYP2D6 and UGT2B7 gene-drug interactions, and CYP-mediated DDI on oxycodone and oxymorphone pharmacokinetics using physiologically-based pharmacokinetic modeling and simulation
Marian Klose, Rodrigo Cristofoletti, Carolina de Miranda Silva, Naveen Mangal, Jacques Turgeon, Véronique Michaud +2 more
2024· article· en· European Journal of Pharmaceutical Sciences· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
5
citations
fundno affunlabeled
Fuel for thought: targeting metabolism in lung cancer
Jaime L. Schneider, SeongJun Han, Christopher S. Nabel
2024· review· en· Translational Lung Cancer Research· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Drug interactions/P450
Lori E. Shapiro, Neil H. Shear
2001· article· en· Current Problems in Dermatology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Fundamentals of Population Pharmacokinetic Modelling
Catherine M.T. Sherwin, Tony K. L. Kiang, Michael G. Spigarelli, Mary H. H. Ensom
2012· article· en· Clinical Pharmacokinetics· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About