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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
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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.

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 8 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.

affno abstractunlabeled
Are Melilotus albus and M. officinalis conspecific?
S. J. Darbyshire, Ernest Small
2018· article· en· Genetic Resources and Crop Evolution· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Morphological and Patogenic Characterization of Sclerotinia sclerotiorum
Thais Pollon Zanatta, Stela Maris Kulczynski, Caroline de Lima Wesp, Daniele Cristina Fontana, Daniela Meira, Eduardo Luis Ceolin +4 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Red Rider common bea
S J Park, T. Rupert, Kangfu Yu, Alireza Navabi
2009· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
8
citations
afffundvenueaboutunlabeled
Tolerance of adzuki bean to pre-emergence herbicides
Nader Soltani, Robert E. Nurse, Christy Shropshire, Peter H. Sikkema
2015· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affvenueaboutunlabeled
Apex common bean
Alireza Navabi, T. Rupert, S. J. Park, Kangfu Yu, Thomas H. Smith, K. Peter Pauls
2012· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affvenueaboutunlabeled
Mist Common 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
6
citations
affvenueunlabeled
Rexeter common bean
Thomas H. Smith, T. E. Michaels, Alireza Navabi, K. Peter Pauls
2012· article· en· Canadian Journal of Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About