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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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AI in cancer detection
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.

1,463 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.
1,463 works in the cohort · of 4,299,418page 28 of 30

Labels cover 4 of 1,463 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 1,463 of 1,463 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
MobNas ensembled model for breast cancer prediction
Tariq Shahzad, Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi +2 more
2025· article· en· Scientific Reports· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Multimodal analysis of whole slide images in colorectal cancer
Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradišek, Toni Rose Jue, Yuzhi Guo, Jamil Mahmoud El Chayeb +4 more
2025· article· en· npj Digital Medicine· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Integrated CADe/CADx of Mammographic Lesions
Paola Casti, Arianna Mencattini, Marcello Salmeri, Rangaraj M. Rangayyan
2017· book-chapter· en· Synthesis lectures on biomedical engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Computer-Aided Diagnosis in Uterus Imaging
Ahmed Radman, Abdulsalam Alkholidi, Ibrahim Ahmed Radman, Habib Hamam
2025· book-chapter· en· Communications in computer and information science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Stable breast cancer prognosis
Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About