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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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Cell Image Analysis Techniques
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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,696 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.
3,696 works in the cohort · of 4,299,418page 46 of 74

Labels cover 7 of 3,696 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 3,696 of 3,696 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
Avant-propos
2023· book-chapter· en· HAL (Le Centre pour la Communication Scientifique Directe)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
napari: a multi-dimensional image viewer for Python
2025· other· en· Zenodo (CERN European Organization for Nuclear Research)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The Ecosystem of Standards in Neuroscience: Which Ones Are For You?
Oliver Rübel, Cody Baker, Jyl Boline, Kristofer Bouchard, Andrew P. Davison, Saskia de Vries +27 more
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Endocytosis
Monica Nordberg, John H. Duffus, Douglas M. Templeton
2016· dataset· en· IUPAC Standards Online· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Cell Death & Certainty
Diya Mukherjee
2023· article· en· SFU Educational Review· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Ontario government has bad policies
2011· other· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
High-Content Screening Assay
John Proudfoot, Olivier Nosjean, Jan Blanchard, John Wang, Dominique Besson, Denis Crankshaw +7 more
2016· dataset· en· IUPAC Standards Online· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About