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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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Balance, Gait, and Falls Prevention
Retraction
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,077 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.
4,077 works in the cohort · of 4,299,418page 23 of 82

Labels cover 12 of 4,077 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 4,077 of 4,077 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
CE
Sharon Baranoski, Kimberly LeBlanc, Mary Gloeckner
2016· review· en· AJN American Journal of Nursing· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
33
citations
fundno affunlabeled
Contribution of Accelerated Body Masses to Able-Bodied Gait
Christophe Gillet, Jacques Duboy, Franck Barbier, Stéphane Armand, Ridha Jeddi, François-Xavier Lepoutre +1 more
2003· article· en· American Journal of Physical Medicine & Rehabilitation· Health Professions
machine prediction:candidate · noneconsensus · none
33
citations
afffundno abstractunlabeled
Predicting Short-Term Risk of Falls in a High-Risk Group With Dementia
Sina Mehdizadeh, Andrea Sabo, Kimberley-Dale Ng, Avril Mansfield, Alastair J. Flint, Babak Taati +1 more
2020· article· en· Journal of the American Medical Directors Association· Health Professions
machine prediction:candidate · noneconsensus · none
33
citations

How this was built: Screen · Findings · About