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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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International Journal for Population Data Science
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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.

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 2 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.

affaboutunlabeled
Concept Dictionary and Glossary at MCHP
Mark Smith, Ken Turner, Ruth Bond, Tiva Kawakami, Leslíe L. Roos
2019· article· en· International Journal for Population Data Science· Health Professions
distilled prediction:candidate · stsconsensus · none
7
citations
aboutno affunlabeled
Housing Affordability: Local and National Perspectives
Laurie Goodman, Wei Li, Jun Zhu
2018· article· en· International Journal for Population Data Science· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
A Metadata Manifesto: The Need for Global Health Metadata
Gabriel E. Fabreau, Evan Minty, Danielle A. Southern, Hude Quan, William A. Ghali
2018· article· en· International Journal for Population Data Science· Health Professions
distilled prediction:candidate · stsconsensus · none
7
citations
affunlabeled
Population Data Science: The science of data about people
Kim McGrail, Kerina Jones
2018· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+open_scienceconsensus · metaresearch+sts+scholarly_communication+open_science
7
citations
affaboutunlabeled
Cohort Profile Update: Reflecting back and looking ahead: Updating the Comparative Outcomes and Service Utilization Trends (COAST) Study to include 28 years of linked data from people with and without HIV in British Columbia, Canada
Michael Budu, Katherine W. Kooij, Katherine Heath, Taylor McLinden, Claudette Cardinal, Scott D. Emerson +11 more
2025· article· en· International Journal for Population Data Science· Medicine
distilled prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Educational outcomes of children in Wales with cerebral palsy
Hywel Jones, Bethan Carter, Jackie Bethel, Verity Bennett, Sarah Rees, Ting Wang +2 more
2019· article· en· International Journal for Population Data Science· Medicine
distilled prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Health Data Governance for Research Use in Alberta
Namneet Sandhu, Sarah Burkhead Whittle, Danielle A. Southern, Bing Li, Erik Youngson, Jeffrey A. Bakal +8 more
2023· article· en· International Journal for Population Data Science· Medicine
distilled prediction:candidate · metaresearchconsensus · metaresearch
5
citations
affaboutunlabeled
Linking Eight Decades of Canadian Census Collections.
Jeremy Foxcroft, Kris Inwood, Luiza Antonie
2022· article· en· International Journal for Population Data Science· Social Sciences
distilled prediction:candidate · stsconsensus · none
4
citations
affaboutunlabeled
Examination of High-Cost Patients in Ontario
Esha Homenauth, Erin Graves, Lisa Ishiguro, Refik Saskin, Michael J. Schull, Walter P. Wodchis +1 more
2018· article· en· International Journal for Population Data Science· Health Professions
distilled prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Perspectives on Linkage Involving Indigenous data
Jennifer Walker, Bonnie Healy, Chyloe Healy, Tina Apsassin, William E. Wadsworth, Carmen Jones +6 more
2018· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · none
4
citations
affaboutunlabeled
Indigenizing our Research
Valerie Nicholson, Andreea Bratu, Alison R. McClean, Simran Jawanda, Niloufar Aran, Knighton Hillstrom +6 more
2021· article· en· International Journal for Population Data Science· Social Sciences
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
4
citations
affaboutunlabeled
Record Linkage Project Process Model
Richard Trudeau
2017· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+open_scienceconsensus · scholarly_communication
4
citations
affaboutunlabeled
Trends in Pregnancy-Associated Opioid Toxicity and Mortality
Andi Camden, Tara Gomes, Hilary K. Brown, Rose A. Schmidt, Aditi Patrikar, Hong Lu +1 more
2024· article· en· International Journal for Population Data Science· Medicine
distilled prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About