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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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Plant pathogens and resistance mechanisms
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.

1,429 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.
1,429 works in the cohort · of 4,299,418page 7 of 29

Labels cover 1 of 1,429 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 1,429 of 1,429 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.

affvenueaboutunlabeled
Resolute great northern bean
H.‐H. Mündel, F. A. Kiehn, H. C. Huang, R. L. Conner, G. Saindon
2005· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Common Bean
T. Santhoshini Priya, A. Manickavasagan
2020· book-chapter· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
Simulations of rate of genetic gain in dry bean breeding programs
Jennifer Lin, Vivi N. Arief, Zulfi Jahufer, Juan M. Osorno, Phil McClean, Diego Jarquín +1 more
2023· article· en· Theoretical and Applied Genetics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations
fundno affno abstractunlabeled
Selection for chilling and freezing resistance in common bean
Parthiba Balasubramanian
2002· article· en· University Library - University of Saskatchewan (University of Saskatchewan)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
RESPOSTAS DE GENÓTIPOS DE FEIJOEIRO À SALINIDADE
Giovanni de Oliveira Garcia, Aline Azevedo Nazário, Willian Bucker Moraes, Ivo Zution Gonçalves, João Carlos Madalão
2010· article· pt· Revista Engenharia na Agricultura - REVENG· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About