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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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JNCI Journal of the National Cancer Institute
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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.

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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.

736 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.
736 works in the cohort · of 4,299,418page 8 of 15

Labels cover 4 of 736 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 736 of 736 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.

afffundunlabeled
Listening to the Patient Voice Adds Value to Cancer Clinical Trials
Michael Brundage, Norah L. Crossnohere, Jennifer O’Donnell, Samantha Cruz Rivera, Roger Wilson, Albert W. Wu +7 more
2022· letter· en· JNCI Journal of the National Cancer Institute· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Effect of RasGAP N2 Fragment–Derived Peptide on Tumor Growth in Mice
David Michod, Alessandro Annibaldi, Stephan Schaefer, Christine Dapples, Bertrand Rochat, Christian Widmann
2009· article· en· JNCI Journal of the National Cancer Institute· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
34
citations
aboutno affno abstractunlabeled
St. John's Wort: More Implications for Cancer Patients
Patrick J. Mansky
2002· letter· en· JNCI Journal of the National Cancer Institute· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
33
citations
aboutno affunlabeled
The Future Burden of Colorectal Cancer Among US Blacks and Whites
Marzieh Araghi, Miranda M Fidler-Benaoudia, Melina Arnold, Ahmedin Jemal, Freddie Bray, Isabelle Soerjomataram
2017· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · noneconsensus · none
30
citations
afffundunlabeled
Circulating proteome for pulmonary nodule malignancy
Elham Khodayari Moez, Matthew T. Warkentin, Yonathan Brhane, Stephen Lam, John K. Field, Geoffrey Liu +13 more
2023· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · noneconsensus · none
28
citations
afffundunlabeled
Understanding risk factors for endometrial cancer in young women
Noah C. Peeri, Kimberly A. Bertrand, Renhua Na, Immaculata De Vivo, Veronica Wendy Setiawan, Venkatraman Seshan +43 more
2024· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · noneconsensus · none
26
citations
afffundunlabeled
Use and Misuse of Waterfall Plots
Tiffany Shao, Lisa Wang, Arnoud J. Templeton, Raymond Woo-Jun Jang, Francisco W. Vera-Badillo, Mairéad G. McNamara +5 more
2014· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · metaresearchconsensus · none
26
citations

How this was built: Screen · Findings · About