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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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Yearbook of 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.

affaffiliation
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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.

104 results · 1 filter active ·
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20002024
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
104 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 104 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 104 of 104 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.

affunlabeled
Role of Artificial Intelligence within the Telehealth Domain
Craig Kuziemsky, Anthony Maeder, Oommen John, Shashi Bhushan Gogia, Arindam Basu, Sushil Kumar Meher +1 more
2019· article· en· Yearbook of Medical Informatics· Medicine
machine prediction:candidate · noneconsensus · none
187
citations
affunlabeled
The Role of Social Media for Patients and Consumer Health
Katie A. Siek, Luis Fernández-Luque, H. Tange, Prajesh Chhanabhai, Simon Y. W. Li, Peter L. Elkin +5 more
2011· article· en· Yearbook of Medical Informatics· Social Sciences
machine prediction:candidate · noneconsensus · none
53
citations
affaboutunlabeled
Health Information Management: Changing with Time
Susan H. Fenton, Sze Choong Jonathan Low, Kathy Abrams, Kerryn Butler‐Henderson
2017· review· en· Yearbook of Medical Informatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Telehealth as a Means of Enabling Health Equity
Craig Kuziemsky, Inga Hunter, Jai Ganesh Udayasankaran, Prasad Ranatunga, Gumindu Kulatunga, Sheila John +9 more
2022· article· en· Yearbook of Medical Informatics· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
fundaboutno affunlabeled
Equitable Research PRAXIS: A Framework for Health Informatics Methods
Tiffany C. Veinot, Phillipa J. Clarke, Daniel M. Romero, Lorraine R Buis, Tawanna R. Dillahunt, Vinod Vydiswaran +5 more
2022· article· en· Yearbook of Medical Informatics· Psychology
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
20
citations
fundno affunlabeled
Emerging eHealth Directions in the Philippines
Portia Grace H. Fernandez-Marcelo, Beverly Lorraine Ho, John Francis Faustorilla, Aliyah Lou Arriola Evangelista, M. Pedrena, Alvin Marcelo
2012· article· en· Yearbook of Medical Informatics· Health Professions
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
eHealth in North America
Don Newsham, David W. Bates, Elizabeth M. Borycki
2013· article· en· Yearbook of Medical Informatics· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
Health Information Management: Changing with Time
S. H. Fenton, S. Low, K. J. Abrams, Kerryn Butler‐Henderson
2017· article· en· Yearbook of Medical Informatics· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About