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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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Genetic and phenotypic traits in livestock
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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.

2,937 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.
2,937 works in the cohort · of 4,299,418page 23 of 59

Labels cover 5 of 2,937 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 2,937 of 2,937 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
Implementation of Feed Saved evaluations in the U.S.
Kristen L. Parker Gaddis, P.M. VanRaden, Rob Tempelman, K.A. Weigel, Heather M. White, Francisco Peñagaricano +6 more
2021· article· en· Bulletin - International Bull Evaluation Service/Interbull bulletin· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Cattle transport in North America.
K. S. Schwartzkopf-Genswein, T. Grandin
2019· book-chapter· en· CABI eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
afffundvenueunlabeled
Genetic parameters of milk cholesterol content in Holstein cattle
Duy Ngoc, A. Fleming, Flávio S. Schenkel, F. Miglior, Xin Zhao, Eveline M. Ibeagha‐Awemu
2018· article· en· Canadian Journal of Animal Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
Gerson A. Oliveira Júnior, Daniel Jordan de Abreu Santos, Aline Silva Mello César, Solomon Antwi Boison, Ricardo Vieira Ventura, B.C. Perez +3 more
2019· article· en· Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
venueno affunlabeled
THE DOMESTICATED DONKEY:II -TYPES AND BREEDS
2012· article· en· Canadian Journal of Applied Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Different selection practices affect the environmental sensitivity of beef cattle
Anielly de Paula Freitas, Mário Luiz Santana, Flávio S. Schenkel, Maria Eugênia Zerlotti Mercadante, Joslaine Noely dos Santos Gonçalves Cyrillo, Cláudia Cristina Paro de Paz
2021· article· en· PLoS ONE· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Efficient computation of the kinship coefficients
Brent Kirkpatrick, Shufei Ge, Liangliang Wang
2018· article· en· Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About