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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.

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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
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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 1 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
Adverse drug events occurring following hospital discharge
Alan J. Forster, Harvey J. Murff, Josh F. Peterson, Tejal K. Gandhi, David W. Bates
2005· article· en· Journal of General Internal Medicine· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
499
citations
affno abstractunlabeled
Guidelines for Submitting Adverse Event Reports for Publication
William N. Kelly, Félix Arellano, Joanne Barnes, Ulf Bergman, Ralph Edwards, Agustin Ignacio Fernández +12 more
2007· article· en· Drug Safety· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
129
citations
affno abstractunlabeled
Under-reporting of harm in clinical trials
Boštjan Šeruga, Arnoud J. Templeton, Francisco Emilio Vera Badillo, Alberto Ocaña, Eitan Amir, Ian F. Tannock
2016· review· en· The Lancet Oncology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
112
citations
afffundunlabeled
Adverse drug event reporting systems: a systematic review
Chantelle Bailey, David Peddie, Maeve E. Wickham, Katherin Badke, Serena S Small, Mary M. Doyle‐Waters +2 more
2016· review· en· British Journal of Clinical Pharmacology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
103
citations
affunlabeled
Guidelines for submitting adverse event reports for publication
William N. Kelly, Félix Arellano, Joanne Barnes, Ulf Bergman, I. Ralph Edwards, Agustin Ignacio Fernández +11 more
2007· article· en· Pharmacoepidemiology and Drug Safety· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · metaresearch
92
citations
afffundvenueunlabeled
Why Clinicians Don’t Report Adverse Drug Events: Qualitative Study
Corinne M. Hohl, Serena S Small, David Peddie, Katherin Badke, Chantelle Bailey, Ellen Balka
2018· article· en· JMIR Public Health and Surveillance· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearchconsensus · none
79
citations

How this was built: Screen · Findings · About