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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 Molecular Biology Research
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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.

2,114 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.
2,114 works in the cohort · of 4,299,418page 29 of 43

Labels cover 1 of 2,114 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 2,114 of 2,114 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.

affunlabeled
Bioinformatic Tools in Arabidopsis Research
Miguel de Lucas, Nicholas J. Provart, Siobhán M. Brady
2013· article· en· Methods in molecular biology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Pores in Place
Fred D. Sack, Jin‐Gui Chen
2009· letter· en· Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Irrepressible, truncated Auxin Response Factors
Wenzislava Ckurshumova, Naden T. Krogan, Danielle Marcos, Adriana E. Caragea, Thomas Berleth
2012· review· en· Plant Signaling & Behavior· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Rhizospheric miRNAs affect the plant microbiota
Harriet Middleton, Jessica Dozois, Cécile Monard, Virginie Daburon, Emmanuel Clostres, Julien Tremblay +3 more
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Molecular Genetics of Flower Senescence
J. E. Thompson, T.-W. Wang
2002· book-chapter· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Reprogramming cells to study vacuolar development
Mistianne Feeney, Lorenzo Frigerio, Susanne E. Kohalmi, Yuhai Cui, Rima Menassa
2013· article· en· Frontiers in Plant Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Competing differentiation gradients coordinate fruit morphogenesis
Andrea Gómez‐Felipe, M. Marconi, Elvis Branchini, Binghan Wang, Hana Bertrand-Rakusova, T. Stan +5 more
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Bioinformatic Tools in Arabidopsis Research
G. Alex Mason, Alex Cantó‐Pastor, Siobhán M. Brady, Nicholas J. Provart
2020· book-chapter· en· Methods in molecular biology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
afffundvenueaboutunlabeled
Molecular and functional characterization of<i>Brassica BREVIPEDICELLUS</i>orthologs involved in inflorescence architectureThis paper is one of a selection of papers published in a Special Issue from the National Research Council of Canada – Plant Biotechnology Institute.
Tim Dumonceaux, S. P. Venglat, Kumuda Kushalappa, Gopalan Selvaraj, Raju Datla
2009· article· en· Botany· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations

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