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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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Pharmacovigilance and Adverse Drug Reactions
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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.

622 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.
622 works in the cohort · of 4,299,418page 8 of 13

Labels cover 2 of 622 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 622 of 622 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
EXPERIMENTAL THERAPEUTICS AND PHARMACOLOGY
Charlotte Aaberg-Jessen, Louise Fogh, Bo Halle, V. Jensen, Nils Brünner, Tadashi Abe +539 more
2013· article· en· Neuro-Oncology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Drug reporting may be mandatory for doctors
Catherine Cross
2013· article· en· Canadian Medical Association Journal· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
3
citations
afffundaboutunlabeled
How do safety warnings on medicines affect prescribing?
Barbara Mintzes, Ellen Reynolds, Priya Bahri, Lucy T Perry, Alice L Bhasale, Richard L. Morrow +1 more
2022· review· en· Expert Opinion on Drug Safety· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Comparison of the Completeness of Spontaneously Reported Adverse Drug Reactions by Consumers, Healthcare Professionals, and Pharmaceutical Companies: An Evaluation of Databases From Two High‐Income Countries
Mohammed Gebre Dedefo, Gizat M. Kassie, Eyob Alemayehu Gebreyohannes, Renly Lim, Elizabeth E. Roughead, Lisa M. Kalisch Ellett
2025· article· en· Pharmacology Research & Perspectives· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
2
citations
aboutno affno abstractunlabeled
Clustered observations
Leonard Leibovici
2018· editorial· en· Clinical Microbiology and Infection· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Pharmacoepidemiology
Edeltraut Garbe, Samy Suissa, Antonios Douros
2022· book-chapter· nl· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
10.51847/ihHVSM0iRt
2000· article· en· Time to knit· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
affno abstractunlabeled
Idiosyncratic Adverse Drug Reactions
Alastair Mak, Jack Uetrecht
2024· book-chapter· en· Elsevier eBooks· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Have Current Systems of Pharmacovigilance Had Their Day?
Michael Colacci, Michael Fralick, Christine Bond
2020· article· en· The Canadian Journal of Hospital Pharmacy· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About