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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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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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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 3 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affvenueunlabeled
Mobile Apps for Medication Management: Review and Analysis
Katarína Tabi, Abnashi Singh Randhawa, Fiona Choi, Zamina Mithani, Friederike Albers, Mohammadali Nikoo +4 more
2019· review· en· JMIR mhealth and uhealth· Health Professions
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
180
citations
venueno affunlabeled
Correction: Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy
Yuan Wu, Xun Yao, Giacomo Vespasiani, Antonio Nicolucci, Yajie Dong, Joey S.W. Kwong +4 more
2018· review· en· JMIR mhealth and uhealth· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broad+sts+insufficient_payloadconsensus · metaresearch+metaepi_narrow
178
citations
venueno affunlabeled
mHealth Assessment: Conceptualization of a Global Framework
Meghan Bradway, Carme Carrión, Barbara Eliza Vallespin, Omid Saadatfard, Elisa Puigdomènech, Mireia Espallargues +1 more
2017· article· en· JMIR mhealth and uhealth· Health Professions
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
166
citations
venueno affunlabeled
mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review
Ibukun-Oluwa Omolade Adepoju, Bregje Joanna Antonia Albersen, Vincent De Brouwere, Jos van Roosmalen, Marjolein Zweekhorst
2017· review· en· JMIR mhealth and uhealth· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrityconsensus · metaepi_narrow+research_integrity
160
citations
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