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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
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.

622 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.
622 works in the cohort · of 4,299,418page 6 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.

venueno affunlabeled
Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom
Gayathri Delanerolle, Robert Williams, Ana Stipancic, Rachel Byford, Anna Forbes, Ruby S. M. Tsang +15 more
2022· article· en· JMIR Formative Research· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
7
citations
fundno affunlabeled
Characteristics of adverse medication events in a children's hospital
Sonya Stacey, Ian Coombes, Claire Wainwright, Brittany Klee, Hugh Miller, Karen Whitfield
2014· article· en· Journal of Paediatrics and Child Health· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
10.1016/j.ohc.2005.07.008
Paul Lama
2000· review· en· Time to knit· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
7
citations
affunlabeled
Why are there deadly drugs?
Joel Lexchin
2015· letter· en· BMC Medicine· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About