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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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Meat and Animal Product Quality
Retraction
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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.

1,486 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.
1,486 works in the cohort · of 4,299,418page 25 of 30

Labels cover 0 of 1,486 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 1,486 of 1,486 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
Use and misuse of meta-analysis in Animal Science
D. Sauvant, Marie-Pierre Létourneau-Montminy, P. Schmidely, Maryline Boval, Christelle Loncke, Jean‐Baptiste Daniel
2019· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Agricultural and Biological Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1
citations
affno abstractunlabeled
Cooking of meat | Maillard reaction and browning
Fereidoon Shahidi, Abul Hossain, Ronald B. Pegg
2023· book-chapter· en· Elsevier eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Optimized for Chewing
Natalia Rybczynski
2004· article· en· Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Justification of replacement of pasteurization equipment in dairy
M. Janžekovič, B. Muršec, P. Vindiš, Franc Čuš
2008· article· en· Journal of Achievements of Materials and Manufacturing Engineering· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueunlabeled
Genetic architecture of collagen characteristics in beef
Meghan Markowsky, Tiago S. Valente, Changxi Li, Bimol C. Roy, M. Juárez, Heather L. Bruce
2025· article· en· Canadian Journal of Animal Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Livestock product processing technology
Aparajita Priyadarshini, Muhammad Heikal Bin Ismail, Ashutosh Singh, Winny Routray
2024· book-chapter· en· Elsevier eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutno abstractunlabeled
Relating the Canadian and Japanese beef grading sites
José Segura, N. Prieto, T Tayengwa, S. Zawadski, H.R. Scott, Ó. López-Campos
2025· article· en· Meat Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/0967-0653(94)92652-2
2000· article· en· Time to knit· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Dark Cutting Beef in the Canadian Grading System
N. Prieto, Ó. López-Campos, B. Uttaro, J. L. Aalhus
2017· article· en· Meat and Muscle Biology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About