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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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Telemedicine and Telehealth Implementation
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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
fundfunder
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.

2,877 results · 1 filter active ·
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20002025
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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.
2,877 works in the cohort · of 4,299,418page 56 of 58

Labels cover 17 of 2,877 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 2,877 of 2,877 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
Unexpected Moments in Telemedicine
Naomi Schlesinger, Richard S. Panush
2022· article· en· The Journal of Rheumatology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractgemma · no categorygpt · no categorymodels agree
Outcomes of a Telemedicine Health Assistance System During COVID-19 Pandemic
Ana Sílvia Sartori Barraviera Seabra Ferreira, Cassiana Mendes Bertoncelo Fontes, Lehana Thabane, Carolina Russo Simon, João Pedro Pereira Caetano de Lima, Jean Carlos Possidônio da Silva +4 more
2024· preprint· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
5 Steps to a Perfect Practice Website
Rhona Lahey, Kaia Pankhurst
2020· article· en· Canadian journal of optometry/CJO. Canadian journal of optometry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tele-ICU – A Canadian Review
Shahpori Reza, Kushniruk Andre, Hebert Marilynne, Zuege Dan
2011· review· en· Studies in health technology and informatics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Commentary on Whitten et al.
Aisha Tariq, Ayesha Nazeef, Huzafa Ali
2025· article· en· Canadian Liver Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Videoconferencing in Telepsychiatry
Marja-Leena Mielonen, Arto Öhinmaa, Juha Moring, Matti Isohanni
2025· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Adopting and Implementing Telehealth in Canada
Penny Jennett, Eldon R. Smith, Mamoru Watanabe, Sharlene Stayberg
2008· book-chapter· en· Electronic Government· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Rural iPad Telestroke (P6.031)
John Falconer
2016· article· en· Neurology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About