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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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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 25 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.

aboutno affunlabeled
Frailty and Polypharmacy in Primary Care
Baki Derhem, Süleyman Özsarı
2023· article· en· Biological Research For Nursing· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Potentially Inappropriate Medication Use in the Elderly
Lesley Charles, Elena Kumar, Eimad Elghol, Bonnie Dobbs, Peter George Jaminal Tian, Оксана Бабенко
2021· article· en· Canadian Journal on Aging / La Revue canadienne du vieillissement· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affvenueno abstractunlabeled
10 Things I Hate about Pharmacy
Mat Nowak
2009· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
venueno affno abstractunlabeled
Pharmacists step up to the challenge of COVID-19
Barbara Farrell, Ross T. Tsuyuki
2020· editorial· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Assisting Consumers with Their OTC Choices
Jeffrey G. Taylor, Sherilyn Chorney, Ian Fleck, Robert Golightly, Valdeen Litzenberger, Kristen Loeppky +2 more
2006· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affaboutunlabeled
Medication Use among Canadian Seniors
Mark McPherson, Hongjian Ji, Jordan Hunt, Rob Ranger, Cheryl Gula
2012· article· en· Healthcare Quarterly· Medicine
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About