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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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International Journal for Population Data Science
Topic
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.

810 results · 1 filter active ·
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20172025
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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.
810 works in the cohort · of 4,299,418page 1 of 17

Labels cover 7 of 810 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 810 of 810 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundaboutno affunlabeled
ICES: Data, Discovery, Better Health
Michael J. Schull, Mahmoud Azimaee, Marcel Marra, Rosario G Cartagena, Marian J. Vermeulen, Minnie Ho +1 more
2020· article· en· International Journal for Population Data Science· Health Professions
distilled prediction:candidate · stsconsensus · none
128
citations
affunlabeled
Position Statement on Population Data Science:
Kim McGrail, Kerina Jones, Ashley Akbari, Tellen D. Bennett, Andy Boyd, Fabrizio Carinci +18 more
2018· article· en· International Journal for Population Data Science· Environmental Science
distilled prediction:candidate · stsconsensus · none
47
citations
affaboutunlabeled
Population Data BC: Supporting population data science in British Columbia
Tavinder K. Ark, Sarah Kesselring, Brent Hills, Kim McGrail
2020· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+open_scienceconsensus · scholarly_communication+open_science
30
citations
afffundaboutunlabeled
Essential Requirements for Establishing and Operating Data Trusts
P. Alison Paprica, Eric Sutherland, Andrea Smith, Michael Brudno, Rosario G Cartagena, Monique Crichlow +8 more
2020· article· en· International Journal for Population Data Science· Medicine
distilled prediction:candidate · metaresearchconsensus · none
26
citations
afffundaboutunlabeled
Unlocking First Nations health information through data linkage
Jennifer Walker, Evelyn Pyper, Carmen Jones, Saba Khan, Nelson W. Chong, Dan Legge +2 more
2018· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+open_scienceconsensus · scholarly_communication
21
citations
afffundaboutunlabeled
SEEDS of Indigenous Population Health Data Linkage
Robyn Rowe, Stephanie Russo Carroll, Chyloe Healy, Desi Rodriguez-Lonebear, Jennifer Walker
2021· article· en· International Journal for Population Data Science· Social Sciences
distilled prediction:candidate · stsconsensus · none
15
citations
affaboutunlabeled
Access to palliative care in Canada
Tracy Johnson, Clare Cheng, Christina Lawand, Maureen Kelly
2018· article· en· International Journal for Population Data Science· Medicine
distilled prediction:candidate · noneconsensus · none
13
citations
fundno affunlabeled
Impact through Engagement
Elizabeth Nelson, Frances Burns
2020· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · scholarly_communicationconsensus · none
9
citations
affaboutgemma · metaresearchgpt · no categorymodels split
Secondary use of routinely collected administrative health data for epidemiologic research: Answering research questions using data collected for a different purpose
Scott D. Emerson, Taylor McLinden, Paul Sereda, Amanda M. Yonkman, Jason Trigg, Sandra Peterson +4 more
2024· article· en· International Journal for Population Data Science· Health Professions
distilled prediction:candidate · metaresearch+stsconsensus · metaresearch
9
citations
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