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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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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 8 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. 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.

venueno affunlabeled
Apples, oranges and wait times: CIHI report
W. Kondro
2006· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
affvenueno abstractunlabeled
What If?: Regret and cancer-related decisions
Deb Feldman‐Stewart, D. Robert Siemens
2015· article· en· Canadian Urological Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Cost-Effectiveness Analysis Using Registry and Administrative Data
Malek B. Hannouf, Gregory S. Zaric
2013· book-chapter· en· International series in management science/operations research/International series in operations research & management science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
venueno affno abstractunlabeled
10.1016/s0024-7804(98)80017-1
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
4
citations
affvenueunlabeled
Cancer Care Burden: Aiming at the Achilles Heel
Shahid Ahmed, Ruqaiya Shahid, Kathy Gesy
2015· article· en· Current Oncology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Delay in diagnosis and treatment of gastrointestinal cancer in Nepal.
Soniya Dulal, Bishnu Dutta Paudel, Aarati Shah, Bibek Acharya, Sandhya Chapagain Acharya, Rameej Revanta Thapa +1 more
2019· article· en· Journal of Clinical Oncology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
afffundaboutunlabeled
Financial burden in advanced cancer: colorectal cancer data analysis
Patricia Biondo, Shireen Kassam, Crystal Beaumont, Philip Akude, Patricia Silbernagel, Madalene A. Earp +5 more
2025· article· en· BMJ Supportive & Palliative Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affaboutno abstractunlabeled
Cost-Effectiveness of Radium-223 Dichloride (Radium-223) In Alsympca: A Cost-Effectiveness Analysis of Radium-223+Best Standard of Care (Bsoc) Compared With Placebo+Bsoc In Treatment of Castration-Resistant Prostate Cancer (Crpc) And Symptomatic Bone Metastases In Canada
P. Henricks, Paul Cislo, Zhan Lu, Amélie Beaudet, E. Grabbi, Andrew Lloyd +2 more
2015· article· en· Value in Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
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How this was built: Screen · Findings · About