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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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Advances in Health Sciences Education
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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.

539 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.
539 works in the cohort · of 4,299,418page 9 of 11

Labels cover 4 of 539 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 539 of 539 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.

affno abstractunlabeled
Who should be an author on this paper?
Ayelet Kuper, Patricia O’Sullivan, Jennifer Cleland
2023· letter· en· Advances in Health Sciences Education· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
5
citations
affno abstractunlabeled
The concept of errors in medical education: a scoping review
Liv Dyre, Lawrence Grierson, Kasper Møller Boje Rasmussen, Charlotte Ringsted, Martin G. Tolsgaard
2022· review· en· Advances in Health Sciences Education· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Journal standards
Rachel Ellaway
2022· editorial· en· Advances in Health Sciences Education· Medicine
machine prediction:candidate · metaresearchconsensus · none
5
citations
affno abstractunlabeled
Education and neuroscience
Geoff Norman
2016· editorial· en· Advances in Health Sciences Education· Neuroscience
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
What if we consider research teams as teams?
Meredith Young, Tim Dubé
2024· article· en· Advances in Health Sciences Education· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
5
citations
affno abstractunlabeled
Theoriaphobia, theoriaphilia, theoriamania
Rachel Ellaway
2021· editorial· en· Advances in Health Sciences Education· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Podcasting as a goal oriented toy in education
Alireza Jalali, Timothy J. Wood
2012· letter· en· Advances in Health Sciences Education· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
What’s not to LIC?
Rachel Ellaway
2012· letter· en· Advances in Health Sciences Education· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Rater variables associated with ITER ratings
Mike Paget, Caren Wu, Joann McIlwrick, Wayne Woloschuk, Bruce Wright, Kevin McLaughlin
2012· article· en· Advances in Health Sciences Education· Medicine
machine prediction:candidate · metaresearchconsensus · none
4
citations
afffundno abstractunlabeled
Negotiating humanity: an ethnography of cadaver-based simulation
Anna MacLeod, Paula Cameron, Victoria Luong, George Kovács, Lucy Patrick, Molly Fredeen +2 more
2022· article· en· Advances in Health Sciences Education· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Sample sizes, scoops and educational science
Geoff Norman
2010· article· en· Advances in Health Sciences Education· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
affno abstractunlabeled
Avoiding common pitfalls in mixed methods research?
Patricia O’Sullivan, Ayelet Kuper, Jennifer Cleland
2024· editorial· en· Advances in Health Sciences Education· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
3
citations
affno abstractunlabeled
Statistics 101
Geoff Norman
2019· editorial· en· Advances in Health Sciences Education· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About