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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
Retraction
Abstract
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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.

1,943 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 35 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.

affunlabeled
Role of Vps 34 in pancreatic cancer initiation
Hala Shalhoub, Benoît Thibault, Fernanda Ramos‐Delgado, Camille Guyon, Carine Joffre, Marlène Dufresne +2 more
2024· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
tRNA's Los is a gain after damage
Richard Robinson
2007· article· en· The Journal of Cell Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
P.102 Integration of Ultrasensitive electroluminescent immunoassay and cell-free DNA methylation analysis for the non-invasive discrimination of adult diffuse gliomas
Andrew Ajisebutu, Miyo K. Chatanaka, Vikas Patil, Ioannis Prassas, Diamandis Eleftherios, Gelareh Zadeh
2024· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Welcome Message from Conference Co‐Convenors
Glen Reid, Sonia Yip
2014· article· en· Asia-Pacific Journal of Clinical Oncology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Computational Epigenomics and Epitranscriptomics
Pedro H. Oliveira
2023· book· en· Methods in molecular biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
An HIV-1 Reference Epitranscriptome
Michael S. Bosmeny, Adrian A. Pater, Li Zhang, Lydia Larkai, Beverly E. Sha, Zidi Lyu +3 more
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A national effort
John Bergeron, Sean Taylor
2004· article· en· EMBO Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Is it DNA or protein?
William A. Wells
2005· article· en· The Journal of Cell Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About