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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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Cancer Research
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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.

7,379 results · 1 filter active ·
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20042025
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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.
7,379 works in the cohort · of 4,299,418page 28 of 148

Labels cover 8 of 7,379 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 7,379 of 7,379 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.

affunlabeled
Myeloid Suppressor Cells Regulate the Lung Environment—Letter
Momir Bosiljcic, Melisa J. Hamilton, Judit P. Banáth, Nancy E. LePard, Denise C. McDougal, Jessica Jia +2 more
2011· letter· en· Cancer Research· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Notch Signaling Promotes Mature T-Cell Lymphomagenesis
Xin Gao, Chenguang Wang, Suhaib Abdelrahman, Nermin Kady, Carlos Murga‐Zamalloa, Peter H. Gann +14 more
2022· article· en· Cancer Research· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
Big Data–Led Cancer Research, Application, and Insights
James A. L. Brown, Tríona Ní Chonghaile, Kyle B. Matchett, Niamh Lynam‐Lennon, Patrick A. Kiely
2016· article· en· Cancer Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Abstract PD13-06: Neoadjuvant giredestrant (GDC-9545) + palbociclib versus anastrozole + palbociclib in postmenopausal women with estrogen receptor-positive, HER2-negative, untreated early breast cancer: Primary analysis of the randomized, open-label, phase II coopERA breast cancer study
Sara A. Hurvitz, Vanesa Quiroga, Yeon Hee Park, Aditya Bardia, Vanesa López-Valverde, Jutta Steinseifer +4 more
2022· article· en· Cancer Research· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Abstract CT136: Final biomarker analysis of the phase I study of the selective BRAF V600 inhibitor encorafenib (LGX818) combined with cetuximab with or without the α-specific PI3K inhibitor alpelisib (BYL719) in patients with advanced BRAF-mutant colorectal cancer
Jan H.M. Schellens, Robin M.J.M. van Geel, Johanna C. Bendell, Anna Spreafico, Martin Schüler, Takayuki Yoshino +14 more
2015· article· en· Cancer Research· Medicine
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About