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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.

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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-Based Education in Healthcare
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.

2,300 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.
2,300 works in the cohort · of 4,299,418page 33 of 46

Labels cover 5 of 2,300 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 2,300 of 2,300 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
Medical Simulation Fellowships
Kate E. Hughes, Patrick G. Hughes
2019· article· en· StatPearls· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Hockey lines for simulation-based learning
David Topps, Rachel Ellaway, Christine Kupsh
2015· article· en· The Clinical Teacher· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Effective trauma teams: Trauma team simulations
Margaret Dymond, Rachelle Saybel, Cathy Falconer
2012· article· en· Canadian Journal of Emergency Nursing· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Teaching consistent hand hygiene: How can we improve?
Samantha K Baggett, Teresa Gore, Bonnie Sanderson, Chetan S. Sankar
2013· article· en· Journal of Nursing Education and Practice· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reimagining SP Methodology
Lou Clark, Grant Cloyd, F. Shawn Galin, Holly A. Gerzina, Kathy A. Herzberger, Robert MacAulay +8 more
2020· book-chapter· en· Comprehensive healthcare simulation· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
In Situ Simulation: A Patient Safety Frontier
Adam Garber, Hassan Shenassa, Sukhbir S. Singh, Glen Posner
2015· article· en· Journal of Minimally Invasive Gynecology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About