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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
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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.

1,429 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 10 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.

afffundvenueaboutunlabeled
AAC Whitehorse great northern dry bean
Parthiba Balasubramanian, H.‐H. Mündel, Syama Chatterton, R. L. Conner, Anfu Hou
2014· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Development of chitosan‐based nanoparticles encapsulating <scp> <i>Bacillus velezensis</i> CMRP4490 </scp> metabolites for enhanced in vitro control of <scp> <i>Sclerotinia sclerotiorum</i> </scp>
Gesiara de França Silva de Lima, Rúbia Michele Suzuki, Admilton Gonçalves de Oliveira, Ana Caroline Raimundini Aranha, Rafael Oliveira Defendi, Maria Carolina Sérgi Gomes +2 more
2024· article· en· The Canadian Journal of Chemical Engineering· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Arikara Yellow common bean
David Gehl Hans-Henning Mündel, Henry C. Huang, R. L. Conner
2004· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
afffundvenueaboutunlabeled
AAC Burdett pinto dry bean
Parthiba Balasubramanian, H.‐H. Mündel, Syama Chatterton, R. L. Conner, Anfu Hou
2015· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Black Violet common bean
Ferdinand A. Kiehn Hans-Henning Mündel, Henry C. Huang, R. L. Conner, G. Saindon
2004· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
10.51847/NBT9rcZ
Laura Molina, Thomas Goodall, Umar T. Twahir, Ellen W. Moomaw, Alexander Angerhofer
2000· article· en· Time to knit· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affvenueaboutunlabeled
AAC Y073 yellow dry bean
Parthiba Balasubramanian, Syama Chatterton, R. L. Conner
2019· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
SCS205 Riqueza: Carioca common bean cultivar for Southern Brazil
Sydney Antonio Frehner Kavalco, Waldir Nicknich, Alberto Höfs, Silmar Hemp, Gilcimar Adriano Vogt, Rogério Luiz Backes
2017· article· pt· Agropecuária Catarinense· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Acantozero erucic acid oriental condiment mustard
G. Rakow, J. P. Raney, D. Rode
2010· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Yeti kidney bean
Raja Khanal, T. Rupert, Alireza Navabi, Thomas H. Smith, Thomas E. Michaels, Andrew Burt +1 more
2016· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
OAC Derkeller common bean
Thomas H. Smith, T. E. Michaels, K. Peter Pauls
2010· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
Winmor pinto bean
Parthiba Balasubramanian, F. A. Kiehn, H.‐H. Mündel, R. L. Conner, H. C. Huang
2008· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Registration of ‘Krimson’ Cranberry Bean
Phillip N. Miklas, Ron Riley
2011· article· en· Journal of Plant Registrations· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
AC Cruiser common bean
S. J. Park, T. Rupert
2003· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Pinto Bean Cultivars Blackfoot, Nez Perce, and Twin Falls
Shree P. Singh, Phillip N. Miklas, Mark A. Brick, Howard F. Schwartz, Carlos A. Urrea, Henry Terán +4 more
2017· article· en· Journal of Plant Registrations· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations

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