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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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Genetics, Bioinformatics, and Biomedical Research
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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.

1,615 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.
1,615 works in the cohort · of 4,299,418page 6 of 33

Labels cover 5 of 1,615 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 1,615 of 1,615 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.

affvenueunlabeled
Facilitating Scientific Inquiry Skills through Fiction-Based Learning
Michael Wong, Avery P. Clavio, John T. Vu, Gian R. Agtarap, Betty Su, Shaaf Farooq +1 more
2024· article· en· The Canadian Journal for the Scholarship of Teaching and Learning· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
A short guide to genetic data mining
David Roy Smith
2020· article· en· EMBO Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Genetic Justice Must Track Genetic Complexity
Colin Farrelly
2007· article· en· Cambridge Quarterly of Healthcare Ethics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Finding your scientific story by writing backwards
David J. S. Montagnes, E. Ian Montagnes, Yang Zhou
2021· editorial· en· Marine Life Science & Technology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Special issue on computational molecular biology
Richard D. Karp, Ming Li, Pavel A. Pevzner, Ron Shamir
2007· article· en· Journal of Computer and System Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Don’t let generative AI shape how we see chemistry
Audrey Moores, Vânia Gomes Zuin
2025· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
5
citations
aboutno affunlabeled
Multiscale and Multimodal Analysis for Computational Biology
Xin Gao, Jake Y. Chen, Mohammed J. Zaki
2018· article· en· IEEE/ACM Transactions on Computational Biology and Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Unix Survival Guide
Lincoln Stein
2015· article· en· Current Protocols in Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
affno abstractunlabeled
Artificial intelligence in metabolic research
Jens J. Holst, Camilla Schéele, Philipp Scherer, Weiping Jia, Eran Segal, Nikolai Slavov +6 more
2025· article· en· Nature Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Small Cells, Big Problems
Hanbo Chen
2018· editorial· en· International Journal of Radiation Oncology*Biology*Physics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
Highlights from the ISCB Student Council Symposium 2013
Tomás Di Domenico, Cynthia Prudence, Esmeralda Vicedo, Emre Güney, Anupama Jigisha, Avinash Shanmugam
2014· article· en· BMC Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Delsa Workshop IV: Launching the Quantified Human Initiative
Elizabeth Stewart, Todd Smith, Andrea de Souza, Jack Faris, Lennart Martens, Sophie Mohin +3 more
2013· article· en· Big Data· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
Editorial (Forward Look: Tenth Anniversary of the Human Genome Sequence and 21st Century Postgenomics Global Health - A Close Up on Africa and Womens Health)
Sanaa M. Kamal, Louise Warnich, Lynnette R. Ferguson, Sanjeeva Srivastava, Sandipan Ray, Denise Avard +7 more
2011· article· en· Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
How to Write CHI Papers, Fourth Edition
Lennart E. Nacke
2020· article· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
4
citations
affunlabeled
Internet Basics for Biologists
Andreas D. Baxevanis, B. F. Francis Ouellette
2000· article· en· Current Protocols in Molecular Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The very youngest science.
Alison Sinclair, Judith G. Hall
2002· article· en· PubMed· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
<i>Imaging Neuroscience</i> opening editorial
Stephen M. Smith, Til Ole Bergmann, Birte U. Forstmann, Alain Dagher, Shella Keilholz, Kristen M. Kennedy +36 more
2023· editorial· en· Imaging Neuroscience· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations

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