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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
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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 29 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
Shape Detection In 2D Ultrasound Images
Ruturaj Gole, Haixia Wu, Subho Ghose
2019· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Cortical Dysplasia Teaching Pathology to a Machine
Delaney Cosma, Ali Khan, Robert Hammond
2021· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A fuzzy enhancement schema for density-typed mammograms
Jennifer A. Lyon, D. Nikitenko, Michael A. Wirth
2004· article· en· IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
UV-PARS Virtual Histology
Matthew T. Martell, Nathaniel J. M. Haven, Roger J. Zemp
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About