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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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Simulation in Healthcare The Journal of the Society for Simulation in Healthcare
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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.

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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.

179 results · 1 filter active ·
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20062025
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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.
179 works in the cohort · of 4,299,418page 4 of 4

Labels cover 0 of 179 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 179 of 179 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
Instructions for Obtaining Journal CME Credit
Andreas H. Meier
2009· article· en· Simulation in Healthcare The Journal of the Society for Simulation in Healthcare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Effective Management of Sarin Exposure
Neil A. Hanson, Eugene Hobbs, Jeffrey M. Taekman
2008· article· en· Simulation in Healthcare The Journal of the Society for Simulation in Healthcare· Chemical Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Curriculum Innovation: The Three Pillars
Paula Burns, Bill Brennan, Susan Dunington
2006· article· en· Simulation in Healthcare The Journal of the Society for Simulation in Healthcare· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Board 344 - Research Abstract An Exploration of Communication between Surgical Instructors and Trainees and the Effect of Standardized Communication and a Simulated On-Screen Frame of Reference Tool Employed during Urologic Laparoscopic Training (Submission #347)
Jen Hoogenes, Rami Elias, Soojin Kim, Ranil Sonnadara, Seungmin Kevin Kim, Edward D. Matsumoto
2013· article· en· Simulation in Healthcare The Journal of the Society for Simulation in Healthcare· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Board 372 - Research Abstract The Other End
Arielle Lévy, Nancy Robitaille, Géraldine Pettersen, A Sansregret, France Gauvin, Sandra Lesage
2013· article· en· Simulation in Healthcare The Journal of the Society for Simulation in Healthcare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About