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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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Interpreting and Communication in Healthcare
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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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venuejournal
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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.

1,286 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.
1,286 works in the cohort · of 4,299,418page 3 of 26

Labels cover 4 of 1,286 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 1,286 of 1,286 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.

venueno affunlabeled
The use of apologies by EFL learners
İlknur İstifçi
2009· article· en· English Language Teaching· Health Professions
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Linguistic Services in Ambulatory Clinics
Elisa Brettler Vandervort, Gail D’Eramo Melkus
2003· article· en· Journal of Transcultural Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
43
citations
venueno affunlabeled
Visual Input in Simultaneous Interpreting
Sylvi Rennert
2008· article· en· Meta Journal des traducteurs· Health Professions
machine prediction:candidate · noneconsensus · none
38
citations
affno abstractunlabeled
Listen carefully: The risk of error in spoken medication orders
Bruce L. Lambert, Laura Walsh Dickey, William M. Fisher, Robert D. Gibbons, Swu‐Jane Lin, Paul A. Luce +3 more
2010· article· en· Social Science & Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Another Person in the Room
Agnieszka Kosny, Ellen MacEachen, Marni Lifshen, Peter Smith
2014· article· en· Qualitative Health Research· Health Professions
machine prediction:candidate · noneconsensus · none
35
citations
venueno affunlabeled
Self-Assessment in Teaching Interpreting
Encarnación Postigo Pinazo
2009· article· en· TTR traduction terminologie rédaction· Health Professions
machine prediction:candidate · noneconsensus · none
35
citations
affvenueaboutunlabeled
Linguistic Minorities in Canada and Health
Louise Bouchard, Martin Desmeules
2013· article· fr· Healthcare policy· Health Professions
machine prediction:candidate · noneconsensus · none
29
citations

How this was built: Screen · Findings · About