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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
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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.

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 31 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
Managing genetic recessives in Canadian Holsteins
B J Van Doormaal, G.J. Kistemaker
2008· article· en· Bulletin - International Bull Evaluation Service/Interbull bulletin· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
DEVELOPMENT AND WORLDWIDE DISTRIBUTION OF THE ANGLO NUBIAN GOAT
A. Stemmer, Marianna Siegmund‐Schultze, C. Gall, Anne Valle Zárate
2009· article· en· Socio-Environmental Systems Modeling· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Towards robust evolutionary inference with integral projection models
Maria João Janeiro, David W. Coltman, Marco Festa‐Bianchet, Fanie Pelletier, Michael B. Morrissey
2016· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Genomic correlates for migratory direction in a free-ranging cervid
Maegwin Bonar, Spencer J. Anderson, Charles R. Anderson, George Wittemyer, Joseph M. Northrup, Aaron B. A. Shafer
2022· article· en· Proceedings of the Royal Society B Biological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
The use of artificial neural networks for modelling rumen fill
Rasheed Adekunle Adebayo, Mehluli Moyo, E.B. Gueguim Kana, I.V. Nsahlai
2020· article· en· Canadian Journal of Animal Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations

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