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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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Pharmacy Education
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Retraction
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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.

55 results · 1 filter active ·
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20032024
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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.
55 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 55 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 55 of 55 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Using GastroPlus to teach complex biopharmaceutical concepts
Daniela Amaral Silva, M. Kenneth Cor, Afaseneh Lavasanifar, Neal M. Davies, Raimar Löbenberg
2022· article· en· Pharmacy Education· Chemistry
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
4
citations
affaboutunlabeled
Case Study of Generic Competencies Assessment
Françoise Crevier, Marie-Claude Binette, Daphné Girardot, Claudine Laurier, Johanne Vinet, Claude Mailhot +1 more
2011· article· en· Pharmacy Education· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
FIP Brisbane 2023: Academic Pharmacy
M. W. Hu, Yuyao Pei, Feng Chang, Yufen Zheng, Mr Wei, Mr Patel +17 more
2023· article· en· Pharmacy Education· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
FIP Seville 2022: Military and Emergency Pharmacy
Shellyza Sajwani, Linda Carroll, Julie Morin, Asuka Sakakimoto, Eiko Kobayashi, Yohei Inoue +2 more
2023· article· en· Pharmacy Education· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About