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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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Agricultural and Food Sciences
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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.

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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.

266 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.
266 works in the cohort · of 4,299,418page 4 of 6

Labels cover 1 of 266 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 266 of 266 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.

venueno affno abstractunlabeled
Leite de mel
Irene M. R. Marques
2002· article· en· Canadian women's studies· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ESTRATIFICAÇÃO DE RISCO DE IDOSOS FRÁGEIS MORADORES DA ZONA RURAL DA UBS QUEBEC
Karen Toshiko Unaya, Mayara de Almeida Loeblein, Ana Cristina Borghesan, Janine Knabach Scarano, Ludmila Lopes Maciel Bolsoni, Patrí­cia Bossolani Charlo
2018· article· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Global talc production and markets
Industrial Minerals
2015· article· en· Industrial Minerals· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-84-8086-654-5.00017-8
2000· book-chapter· en· Time to knit· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Eusphalerum newtoni Zanetti 2014, n. sp.
2014· article· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Juice Boxes
Paige Zhang
2015· article· en· Academic Psychiatry· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Most‐Cited Papers of 2009
Allen Foegeding
2012· article· en· Journal of Food Science· Agricultural and Biological Sciences
machine prediction:candidate · bibliometrics+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Análise do mercado internacional de compensado
2016· article· en· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ESSU June 30 2014
2014· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Relationship between national and international wood prices
2008· dissertation· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About