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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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Ruminant Nutrition and Digestive Physiology
Retraction
Abstract
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Label agreement
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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.

3,094 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,094 works in the cohort · of 4,299,418page 61 of 62

Labels cover 3 of 3,094 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 3,094 of 3,094 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
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
High Quality Forages: How Sweet Should They Be?
R. Berthiaume, Gaëtan F. Tremblay, Gilles Bélanger, Annick Bertrand, Yves Castonguay, R. Michaud +3 more
2013· article· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
AABP Association and Conference News
American Association of Bovine Practitioners
2001· article· en· The Bovine Practitioner· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Can diet change the diversity of ruminal bacterial species in beef cattle?
Hilda Silva Araújo de Melo, Luís Carlos Vinhas Ítavo, Alinne Pereira de Castro, Camila Celeste Brandão Ferreira Ítavo, Alexandre Menezes Dias, Gelson dos Santos Difante +7 more
2020· preprint· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Impact of monensin, virginiamycin, trace minerals, and yeast combination on animal performance, carcass and meat characteristics of finishing feedlot bulls fed high grain diet
Vanessa Duarte, Fábio Garcia Ribeiro, Aylle Medeiros Matos, Rodolpho Martin do Prado, Luiz Fernando Costa e Silva, Venício Macêdo Carvalho +3 more
2025· article· en· Tropical Animal Health and Production· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Breeding strategies in evaluation of forage barley
P. E. Juskiw, V.S. Baron, Raquel R. Doce, J. M. Nyachiro, M. L. Swift, M. Oba
2020· article· en· Crop Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Blood and fecal metabolic responses of mature horses fed rhizoma peanut hay
Ana Caroline Cerqueira de Melo Vasco, L.K. Warren, Gleise Medeiros da Silva, Wilmer Cuervo-Vivas, Roberta Ariboni Brandi, Vinícius Duarte Pimentel +3 more
2025· preprint· SSRN Electronic Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About