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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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Animal Behavior and Welfare Studies
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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.

1,917 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.
1,917 works in the cohort · of 4,299,418page 28 of 39

Labels cover 4 of 1,917 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 1,917 of 1,917 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.

affunlabeled
Individual behaviours
Anne Innis Dagg
2014· book-chapter· en· Cambridge University Press eBooks· Veterinary
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Welpenfütterung in der Schweiz
Füglistaller, Wichert
2013· article· de· Schweizer Archiv für Tierheilkunde· Veterinary
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Frustration in Hens
I.J.H. Duncan
2018· book-chapter· en· Elsevier eBooks· Veterinary
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Response to Validity and Reliability of Behavior and Theory-Based Psychosocial Determinants Measures, Using Audience Response System Technology in Urban Upper-Elementary Schoolchildren: Limitations of Pearson's r and Percent Agreement
Heewon L. Gray, Ian Yi Han Ang, Isobel R. Contento, Pamela Koch, Jennifer Di Noia, Lorraine N. Bandelli
2016· letter· en· Journal of Nutrition Education and Behavior· Veterinary
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Welcome; Animal agriculture and the welfare of animals; My resposibilities as a swine caregiver; Sow housing: opportunities, constraints, and unknowns; Welfare challenges in sow housing; Experiences with alternative methods of sow housing; Sow housing: science, behavior, and values
Henry Childers, Paul Β. Thompson, John Harvey Kellogg, John Deen, Sukumarannair Anil, Leena Anil +3 more
2005· article· en· Journal of the American Veterinary Medical Association· Veterinary
machine prediction:candidate · noneconsensus · none
1
citations

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