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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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Rangeland Management and Livestock Ecology
Retraction
Abstract
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Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

790 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
790 works in the cohort · of 4,299,418page 11 of 16

Labels cover 4 of 790 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 790 of 790 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
Ideas of Nature and the Construction of Himalaya
Debaditya Dutta
2025· article· en· International Journal of Integrated Research and Practice· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Terrain Maps
Daniel Ashlock
2018· book-chapter· en· Synthesis lectures on games and computational intelligence· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Grassland Quadrat Samples
Tyra Eco
2014· dataset· en· Figshare· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Wildlife.
Ralf Buckley
2006· book-chapter· en· CABI eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
Gregory A. Barton
2002· book-chapter· en· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Introduction
Christopher J. Percival, Joan T. Richtsmeier
2017· book-chapter· en· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Cindy Sherman
2002· article· ceb· Scholarship@Western (Western University)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Réinventer le pastoralisme
2023· book· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
from The Gray Earth
Galsan Tschinag
2008· article· en· Mānoa/Mānoa· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Challenges and opportunities for transboundary pastoralism
Jon Davies, Claire Ogali, Lydia Slobodian, Guyo Roba, Razingrim Ouedraogo
2019· book-chapter· en· Crossing boundaries· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Terrestrial Ecozones
2010· report· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About