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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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Economic and Financial Impacts of Cancer
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.

1,125 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.
1,125 works in the cohort · of 4,299,418page 3 of 23

Labels cover 7 of 1,125 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 1,125 of 1,125 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affvenueaboutunlabeled
Estimating the National Wage Loss from Cancer in Canada
Robert Hopkins, Ron Goeree, Christopher J. Longo
2010· article· en· Current Oncology· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
33
citations
affunlabeled
Medical oncology in India: Workload, infrastructure, and delivery of care
Manju Sengar, Adam Fundytus, Wilma M. Hopman, Hemant Malhotra, Sudeep Gupta, C.S. Pramesh +7 more
2019· article· en· Indian Journal of Medical and Paediatric Oncology· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
28
citations
affaboutunlabeled
Chemoprevention: Drug pricing and mortality
Joy Melnikow, Christina A Kuenneth, L. Jay Helms, Amber E. Barnato, Miriam Kuppermann, Stephen Birch +1 more
2006· article· en· Cancer· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
27
citations
affvenueaboutno abstractgemma · no categorygpt · no categorymodels agree
Waiting Time for Breast Cancer Treatment in Alberta
Alyssa Reed, Robert J. Williams, Patricia A. Wall, Paul Hasselback
2004· article· en· Canadian Journal of Public Health· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Health System Costs of Metastatic Breast Cancer
Elaine S. Wai, Caroline Trevisan, Suzanne C. Malfair Taylor, Donna Mates, Jeremy S. H. Jackson, Ivo A. Olivotto
2001· article· en· Breast Cancer Research and Treatment· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
24
citations
affunlabeled
The Impact of Big Data Research on Practice, Policy, and Cancer Care
David Chambers, Eitan Amir, Ramy Saleh, Danielle Rodin, Nancy L. Keating, Travis Osterman +1 more
2019· review· en· American Society of Clinical Oncology Educational Book· Economics, Econometrics and Finance
distilled prediction:candidate · stsconsensus · none
24
citations
afffundno abstractunlabeled
The human crisis in cancer: a Lancet Oncology Commission
Gary Rodin, Dario Trapani, Mac Skelton, Karla Unger‐Saldaña, Beverley M. Essue, Rille Pihlak +29 more
2025· review· en· The Lancet Oncology· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
23
citations

How this was built: Screen · Findings · About