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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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RNA modifications and cancer
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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.

1,943 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.
1,943 works in the cohort · of 4,299,418page 23 of 39

Labels cover 3 of 1,943 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 1,943 of 1,943 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.

aboutno affunlabeled
Reply to Kratz et al.
Thierry Frébourg, Svetlana Bajalica‐Lagercrantz, Carla Oliveíra, Rita Mágenheim, D. Gareth Evans, Marjolijn J. L. Ligtenberg +31 more
2020· letter· en· European Journal of Human Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Decoding differential gene expression
Shinya Tasaki, Chris Gaiteri, Sara Mostafavi, Yanling Wang
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
MEMO1 is a Metal Containing Regulator of Iron Homeostasis in Cancer Cells
Natalia V. Dolgova, Eva-Maria E Uhlemann, Michal T. Boniecki, Frederick S. Vizeacoumar, Martina Ralle, Marco Tonelli +6 more
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Coping with stress by regulating tRNAs
Sebastian Pechmann
2018· letter· en· Science Signaling· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Agenesis of the corpus callosum
Dorothy M. Jones, Yolanda Lau, Elliott H. Sherr
2011· book-chapter· en· Cambridge University Press eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
RNA-targeted therapeutics in arterial hypertension
Egidio Imbalzano, Riccardo M. Inciardi, Luana Orlando, Francesca Amati, Flavio D’Ascenzi, Riccardo Liga +6 more
2025· article· en· European Heart Journal - Quality of Care and Clinical Outcomes· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About