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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-Microbe Interactions and Immunity
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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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venuejournal
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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.

2,051 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.
2,051 works in the cohort · of 4,299,418page 27 of 42

Labels cover 0 of 2,051 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 2,051 of 2,051 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.

afffundno abstractunlabeled
Tomato Ve resistance locus; defense or growth
Ross N. Nazar, Xin Xu, Hakeem Shittu, Alexander Kurosky, Jane Robb
2018· article· en· Planta· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affvenueunlabeled
Corn microbial diversity and its relationship to yield
Shimaila Ali, Soledad Saldı́as, Nimalka Weerasuriya, Kristen Delaney, Saveetha Kandasamy, George Lazarovits
2020· article· en· Canadian Journal of Microbiology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Enhancing Plant Disease Resistance without R Genes
Birinchi Kumar Sarma, Harikesh Bahadur Singh, W. G. Dilantha Fernando, Roberto Nascimento Silva, Vijai Kumar Gupta
2016· letter· en· Trends in biotechnology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
A High-Throughput, Seedling Screen for Plant Immunity
Alexandre Martel, Timothy Lo, Darrell Desveaux, David S. Guttman
2019· article· en· Molecular Plant-Microbe Interactions· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Plant growth-promoting bacteria (PGPB) in horticulture
Aparna Gunjal, Bernard R. Glick
2023· article· en· Proceedings of the Indian National Science Academy· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
In-silico identification and differential expression of putative disease resistance-related genes within the collinear region of Brassica napus blackleg resistance locus LepR2’ in Brassica oleracea
Mohammad Rashed Hossain, Mostari Jahan Ferdous, Jong‐In Park, Arif Hasan Khan Robin, Sathishkumar Natarajan, Hee‐Jeong Jung +2 more
2020· article· en· Horticulture Environment and Biotechnology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations
venueno affunlabeled
10.51847/CwasXXH
B. Sivasankari, Marimuthu Anandharaj, Thilagavathy Daniel
2000· article· en· Time to knit· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
8
citations

How this was built: Screen · Findings · About