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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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Trends in Ecology & Evolution
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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.

408 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.
408 works in the cohort · of 4,299,418page 8 of 9

Labels cover 0 of 408 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 408 of 408 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
Rhizosphere ‘Trade’ Is an Unnecessary Analogy: Response to Noë
Cindy E. Prescott, S. J. Grayston, Heljä‐Sisko Helmisaari, Eva Kaštovská, Christian Körner, Hans Lambers +3 more
2021· letter· en· Trends in Ecology & Evolution· Environmental Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Viva la variance! A reply to Nakagawa & Schielzeth
Cyrille Violle, Brian J. Enquist, Brian J. McGill, Lin Jiang, Cécile H. Albert, Catherine M. Hulshof +2 more
2012· article· en· Trends in Ecology & Evolution· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
How do big brains evolve?
Cristián Gutiérrez‐Ibáñez, Pavel Němec, Martin Paré, Douglas R. Wylie, Louis Lefebvre
2025· review· en· Trends in Ecology & Evolution· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Including a diverse set of voices to address biological invasions
Martín A. Núñez, Tom August, Sven Bacher, Philip E. Hulme, Tohru Ikeda, Mélodie A. McGeoch +12 more
2024· article· en· Trends in Ecology & Evolution· Environmental Science
machine prediction:candidate · open_scienceconsensus · none
4
citations
affno abstractunlabeled
Promoting equity and inclusion with student-driven initiatives
Jessica Ford, Nathalie Jreidini, Kirsten E. Crandall, Sarah Sanderson, Charles C.Y. Xu
2021· article· en· Trends in Ecology & Evolution· Social Sciences
machine prediction:candidate · open_scienceconsensus · none
4
citations
affno abstractunlabeled
Response to comment by Loot et al.
2009· article· en· Trends in Ecology & Evolution· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Applying complementarity in ecological restoration
Mink Ryan Verschoor, Yann Hautier, George A. Kowalchuk, Ralph J. M. Temmink, Marijke van Kuijk, Emma Ladouceur +2 more
2025· review· en· Trends in Ecology & Evolution· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Response to Whittaker: challenges in testing for gender bias
Amber E Budden, Lonnie W. Aarssen, Julia Koricheva, Roosa Leimu, Christopher J. Lortie, Tom Tregenza
2008· article· en· Trends in Ecology & Evolution· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Conservation changed but not divided
S.A. Reynolds, Sara Beery, Neil D. Burgess, Mark A. Burgman, Stuart H. M. Butchart, Steven J. Cooke +13 more
2025· letter· en· Trends in Ecology & Evolution· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
On the Perils of Ignoring Evolution in Networks
Simon T. Segar, Tom M. Fayle, Diane S. Srivastava, Thomas M. Lewinsohn, Owen T. Lewis, Vojtêch Novotný +2 more
2020· letter· en· Trends in Ecology & Evolution· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Animals and ethanol: beyond the laboratory
Anna C Bowland, Amanda Melin, David J. Hosken, Kimberley J. Hockings, Matthew A. Carrigan
2025· letter· en· Trends in Ecology & Evolution· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
David W. Schindler (1940–2021)
Diane M. Orihel, Heidi K. Swanson, Erin N. Kelly
2021· article· en· Trends in Ecology & Evolution· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Focus on geo-evolutionary feedbacks in contemporary times
Xiaoli Dong, Maya F. Stokes, Andrew P. Hendry, Laurel G. Larsen, Greer Dolby
2025· letter· en· Trends in Ecology & Evolution· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
How is evolutionary theory evolving?
Marion Blute
2025· article· en· Trends in Ecology & Evolution· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Six impossible things before breakfast
Adam K. Chippindale
2003· article· en· Trends in Ecology & Evolution· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

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