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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
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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 8 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.

afffundunlabeled
Mediterranean blue tits as a case study of local adaptation
Anne Charmantier, Claire Doutrelant, Gabrielle Dubuc‐Messier, Amélie Fargevieille, Marta Szulkin
2015· review· en· Evolutionary Applications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
64
citations
aboutno affunlabeled
The future of phenomics in dairy cattle breeding
John B. Cole, Sophie Eaglen, Christian Maltecca, H.A. Mulder, J.E. Pryce
2020· article· en· Animal Frontiers· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
62
citations
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
afffundunlabeled
Genomic selection for lentil breeding: Empirical evidence
Teketel A. Haile, Taryn Heidecker, Derek Wright, Sandesh Neupane, Larissa Ramsay, Albert Vandenberg +1 more
2020· article· en· The Plant Genome· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Manipulation of cattle growth to target carcass quality.
H. C. Block, J. J. McKinnon, A. F. Mustafa, David A. Christensen
2001· article· en· Journal of Animal Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
59
citations
afffundunlabeled
Ketosis an Old Story Under a New Approach
Guanshi Zhang, Burim N. Ametaj
2020· article· en· Dairy· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
The crucial role of genome-wide genetic variation in conservation
Marty Kardos, Ellie E. Armstrong, Sarah W. Fitzpatrick, Samantha Hauser, P. W. Hedrick, Josh Miller +2 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
58
citations

How this was built: Screen · Findings · About