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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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Chronic Disease Management Strategies
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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.

1,869 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.
1,869 works in the cohort · of 4,299,418page 10 of 38

Labels cover 15 of 1,869 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 1,869 of 1,869 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.

afffundno abstractunlabeled
Measuring multimorbidity series. An overlooked complexity - Comparison of self-report vs. administrative data in community-living adults: Paper 3. Agreement across data sources and implications for estimating associations with health service use
Andrea Gruneir, Lauren E. Griffith, Kathryn Fisher, Lindsay Favotto, Christopher Patterson, Maureen Markle‐Reid +2 more
2020· article· en· Journal of Clinical Epidemiology· Medicine
machine prediction:candidate · metaresearchconsensus · none
22
citations
afffundaboutunlabeled
Predicting the Cost of Health Care Services
Xiaotong Huang, Sandra Peterson, Ruth Lavergne, Megan Ahuja, Kimberlyn McGrail
2019· article· en· Medical Care· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
afffundaboutunlabeled
Finding resiliency in the face of financial barriers
David J.T. Campbell, Braden Manns, Pamela LeBlanc, Brenda R. Hemmelgarn, Claudia Sanmartin, Kathryn King‐Shier
2016· article· en· Medicine· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Chronic Care Education in Medical School
Peter C. Esselman, David Berbrayer, Janna Friedly, Carl V. Granger, Rochelle Mayer
2009· article· en· American Journal of Physical Medicine & Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
aboutno affunlabeled
Chronic Diseases and Associated Factors among Older Adults in Loja, Ecuador
Patricia Bonilla Sierra, Ana Magdalena Vargas‐Martínez, Viviana Dávalos-Batallas, Fátima León-Larios, María de las Mercedes Lomas Campos
2020· article· en· International Journal of Environmental Research and Public Health· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affvenueno abstractunlabeled
Time for chronic disease care and management
Terrence J. Montague, Amédé Gogovor, Marilyn Krelenbaum
2007· review· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
18
citations

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