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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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Medical Informatics
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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.

20 results · 1 filter active ·
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20092014
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
20 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 20 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 20 of 20 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
Adopting and Implementing Telehealth in Canada
Penny Jennett, Eldon R. Smith, Mamoru Watanabe, Sharlene Stayberg
2011· book-chapter· en· Medical Informatics· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Information Retrieval by Semantic Similarity
Angelos Hliaoutakis, Giannis Varelas, Epimenidis Voutsakis, Euripides G. M. Petrakis, Evangelos Milios
2011· book-chapter· en· Medical Informatics· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Mobile E-Health
Norm Archer
2011· book-chapter· en· Medical Informatics· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Medical Education in the 21st Century
Stefane Kabene
2011· book-chapter· en· Medical Informatics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Medical Education in the 21st Century
Stefane Kabene
2011· book-chapter· en· Medical Informatics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Adopting and Implementing Telehealth in Canada
Penny Jennett, Eldon R. Smith, Mamoru Watanabe, Sharlene Stayberg
2011· book-chapter· en· Medical Informatics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Towards Cognitive Machines
Witold Kinsner
2011· book-chapter· en· Medical Informatics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Mobile E-Health
Norm Archer
2011· book-chapter· en· Medical Informatics· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About