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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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Homelessness and Social Issues
Retraction
Abstract
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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.

4,406 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.
4,406 works in the cohort · of 4,299,418page 68 of 89

Labels cover 16 of 4,406 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 4,406 of 4,406 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.

aboutno affunlabeled
Vertical children in Toronto
Marc Cinq-Mars
2021· preprint· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Keep the home fires burning.
Meg Olson
2019· article· fr· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Choices Post Discharge Project. Evaluation Report
Lisa Wood, Shannen Vallesi, Angela Gazey, Erin Kelty, Craig Cumming, Nuala Chapple
2019· article· en· UWA Profiles and Research Repository (UWA)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Parnell Herbert
D’Ann R. Penner, Keith C. Ferdinand
2009· book-chapter· en· Palgrave Macmillan US eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
5 Can Canada End Homelessness?
2024· book-chapter· en· University of British Columbia Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
How Does Diversity Affect Homelessness
Elsabeth Jensen, Cheryl Forchuk, Rick Csiernik, Carolyn Gorlick, Susan L. Ray, Hélène Berman +2 more
2012· article· en· York University Digital Library (York University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About