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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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Pharmaceutical Practices and Patient Outcomes
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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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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,661 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.
3,661 works in the cohort · of 4,299,418page 30 of 74

Labels cover 21 of 3,661 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 3,661 of 3,661 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.

affaboutunlabeled
Lipophilic β-Blockers and Suicide in the Elderly
Jonathan S. Zipursky, Erin M. Macdonald, Jin Luo, Tara Gomes, Muhammad Mamdani, J. Michael Paterson +1 more
2017· letter· en· Journal of Clinical Psychopharmacology· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
afffundvenueaboutunlabeled
Pharmaceutical security for Canada
Shoo K. Lee, Sukhy K. Mahl, Brian H. Rowe, Joel Lexchin
2022· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Pharmacists' experiences with dispensing opioids
Meldon Kahan, Lynn Wilson, Elizabeth Wenghofer, Anita Srivastava, Anne Resnick, E Janecek +1 more
2011· article· en· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueno abstractunlabeled
The Pharmacist's Role in Managing Heart Failure
Ross T. Tsuyuki, J. Malcolm O. Arnold
2006· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
Ten years of deprescribing guideline work
Barbara Farrell, Ida-Maisie Famiyeh, Matthew Preteroti, Vincent Vuong
2023· article· en· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
afffundvenueno abstractunlabeled
2017 Guidelines for the management of heart failure by pharmacists
Lesley C. Beique, Justin A. Ezekowitz, Eileen O’Meara, Michael McDonald, Sheri L. Koshman
2019· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
What is holding pharmacists back?
Joshua S. Torrance
2014· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About