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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.

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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 Water Relations and Carbon Dynamics
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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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.

2,964 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.
2,964 works in the cohort · of 4,299,418page 48 of 60

Labels cover 4 of 2,964 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 2,964 of 2,964 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
Principles of resilient coding for plant ecophysiologists
Joseph R. Stinziano, Cassaundra Roback, Demi Gamble, Bridget Murphy, Patrick J. Hudson, Christopher D. Muir
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Taller forests are globally more drought-resistant
Jing M. Chen, Xingmin Zhao, Zhaoying Zhang, Weimin Ju, Pierre Gentine, Yuting Yang
2024· preprint· en· Research Square· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Goodness-of-Fit of Reference Evapotranspiration to Gamma Probability Distribution
Janilson Pinheiro de Assis, Roberto Pequeno de Sousa, Isaac Reinaldo Pinheiro de Lima, Paulo César Ferreira Linhares, Walter Rodrigues Martins, Eudes de Almeida Cardoso +10 more
2021· article· en· Journal of Agricultural Science· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Why longer seasons with climate change may not increase tree growth
E. M. Wolkovich, Ailene K. Ettinger, Alana R. O. Chin, C. J. Chamberlain, Frederik Baumgarten, Kavya Pradhan +2 more
2025· article· en· Nature Climate Change· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Canadian prairie drought assessment through MODIS vegetation indices
Xulin Guo, Wei Gao, P. Richard, Yunpei Lu, Youfei Zheng, Elise Pietroniro
2004· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
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