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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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Mobile Health and mHealth Applications
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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.

4,475 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.
4,475 works in the cohort · of 4,299,418page 56 of 90

Labels cover 50 of 4,475 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 4,475 of 4,475 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 affno abstractunlabeled
SMARTPHONE APPLICATION FOR STEMI ACTIVATION: A PILOT STUDY
Habibeh Mir, Toyiba Syed, Jon-David Schwalm, Michael Tsang, M. Mercuri, Rafi Setrak +1 more
2021· article· en· Canadian Journal of Cardiology· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Connected real-life research, a pillar of P4 medicine
Nicolás Roche, Antonio Anzueto, Sinthia Bosnic‐Anticevich, Alan Kaplan, Marc Miravitlles, Dermot Ryan +4 more
2020· letter· en· European Respiratory Journal· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Development and Effectiveness of a Mobile Health Intervention in Improving Health Literacy and Self-management of Patients With Multimorbidity and Heart Failure: Protocol for a Randomized Controlled Trial
Pilar Bas‐Sarmiento, Martina Fernández‐Gutiérrez, Miriam Poza‐Méndez, Antonio Jesús Marín Paz, Olga Paloma‐Castro, José Manuel Romero‐Sánchez
2022· article· en· JMIR Research Protocols· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
PP115 A Mobile Health App To Improve Knee Osteoarthritis Self-Management
Deborah A. Marshall, Tanya Barber, Brittany Shewchuk, Kelly Mrklas, Jean Miller, Sylvia Teare +4 more
2018· article· en· International Journal of Technology Assessment in Health Care· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
The Use of Smartphones in Hospitals
Amy J. Barton
2012· article· en· Clinical Nurse Specialist· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations

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