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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
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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.

1,615 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 3 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.

affno abstractunlabeled
CYTOGENETIC STUDIES IN RUMEX
Áskell Löve
2010· article· en· Hereditas· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
24
citations
affaboutunlabeled
Fifty years of J. R. Platt's strong inference
Douglas S. Fudge
2014· article· en· Journal of Experimental Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
24
citations
affunlabeled
Apoptosis Techniques and Protocols
Andr�a C. LeBlanc
2002· book· en· Humana Press eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
The battle for user-friendly bioinformatics
David Roy Smith
2013· article· en· Frontiers in Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
23
citations
affunlabeled
The 2006 NESCent Phyloinformatics Hackathon: A Field Report
Rutger Vos, Albert J. Vilella, Tobias Thierer, Arlin Stoltzfus, Jason Stajich, Weigang Qiu +18 more
2007· article· en· National University of Singapore· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations
afffundunlabeled
Who qualifies to be a bioinformatician?
Antony T. Vincent, Steve J. Charette
2015· article· en· Frontiers in Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
21
citations
affunlabeled
Compound Library Management
James A. Chan, Juan A. Hueso-Rodríguez
2003· article· en· Humana Press eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations
aboutno affunlabeled
The success of structural genomics
Thomas C. Terwilliger
2011· article· en· Journal of Structural and Functional Genomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Bioinformatics: alive and kicking
Lincoln Stein
2008· article· en· Genome Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Darwin and microbiomes
Julian Davies
2009· article· en· EMBO Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
A Survey of Biological Data in a Big Data Perspective
Gabriel Dall’Alba, Pedro Lenz Casa, Fernanda Pessi de Abreu, Daniel Luís Notari, Scheila de Ávila e Silva
2022· review· en· Big Data· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
In Brief: Chromothripsis and cancer
Alexander W. Wyatt, Colin C. Collins
2013· article· en· The Journal of Pathology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Xenopus genomic data and browser resources
Peter D. Vize, Aaron M. Zorn
2016· review· en· Developmental Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Machine learning in the life sciences
Krzysztof J. Cios, Lukasz Kurgan, Marek Reformat
2007· review· en· IEEE Engineering in Medicine and Biology Magazine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Darwin's Pangenesis and molecular medicine
Yongsheng Liu, Xiuju Li
2012· article· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
An Atlas of Protein-Protein Interactions Across Mouse Tissues
Michael A. Skinnider, Nicholas E. Scott, Anna Prudova, Craig H. Kerr, Nikolay Stoynov, Greg Stacey +4 more
2021· article· en· SSRN Electronic Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
affaboutunlabeled
From gene to protein
Jay Nadeau
2009· article· en· Biochemistry and Molecular Biology Education· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
afffundno abstractunlabeled
Ten simple rules for teaching yourself R
Jake Lawlor, Francis Banville, Norma-Rocio Forero-Muñoz, Katherine Hébert, Juan Andrés Martínez‐Lanfranco, Pierre Rogy +1 more
2022· article· en· PLoS Computational Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations

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