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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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Journal of Animal Breeding and Genetics
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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.

98 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.
98 works in the cohort · of 4,299,418page 1 of 2

Labels cover 1 of 98 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 98 of 98 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.

affaboutunlabeled
Random regression models: a longitudinal perspective
L.R. Schaeffer, J. Jamrozik
2008· editorial· en· Journal of Animal Breeding and Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
62
citations
affunlabeled
A genomewide association mapping study using ultrasound‐scanned information identifies potential genomic regions and candidate genes affecting carcass traits in Nellore cattle
Miguel Henrique de Almeida Santana, Ricardo Vieira Ventura, Yuri Tani Utsunomiya, Haroldo Henrique de Rezende Neves, Pâmela A. Alexandre, G.A. Oliveira +7 more
2015· article· en· Journal of Animal Breeding and Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Necessary changes to improve animal models
L.R. Schaeffer
2018· review· en· Journal of Animal Breeding and Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Accounting for population structure in selective cow genotyping strategies
B.C. Perez, Júlio César de Carvalho Balieiro, Roberto Carvalheiro, Fábio Tirelo, Gerson Oliveira, Juliana Dementshuk Machado +3 more
2018· article· en· Journal of Animal Breeding and Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
fundno affunlabeled
The polymorphism in MUC1 gene in Nelore cattle
Fábio Ricardo Pablos de Souza, Daniel Blasioli Dentillo, Juliana Meola, Fernando H. Biase, María Andrea, Pedro Alejandro Vozzi +2 more
2007· article· en· Journal of Animal Breeding and Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
A canine linkage map: 39 linkage groups
Frode Lingaas, Tone Aarskaug, John A. Gerlach, Rajiv Juneja, Merete Fredholm, Jeffrey R. Sampson +17 more
2001· article· en· Journal of Animal Breeding and Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations

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