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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
Evidence source
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 14 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.

affno abstractunlabeled
Corrigendum to ‘A transboundary study of spatiotemporal patterns of livestock predation and prey preferences by snow leopard and wolf in the Pamir’ [Global Ecology and Conservation Volume 20 (October 2019) 1–10/e00719]
Jaffar Ud Din, Muhammad Ali Nawaz, Tahir Mehmood, Hussain Ali, Durriyyah Sharifah Hasan Adli, Yusoff Norma‐Rashid
2020· erratum· en· Global Ecology and Conservation· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Index
Glyn Davies
2007· paratext· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Scenic Vistas: Lepus 'n' Lynx
Mark Bratton
2001· article· en· Journal of the Royal Astronomical Society of Canada· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Indigenous Knowledge on Nguni Cattle Uses
Saymore Petros Ndou, M. Chimonyo
2018· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Predators of Cattle in Asia
Michael O’Neal Campbell
2025· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Predators of Cattle in Africa
Michael O’Neal Campbell
2025· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Ecological Insurance Trap
Kevin Berry, Eli P. Fenichel, Brian E. Robinson
2018· preprint· en· RePEc: Research Papers in Economics· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A rural and remote trail of dedication
Barbara Sharp
2005· article· en· PACEsetterS· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Drivers of global variation in land ownership
Patrick H. Kavanagh, Hannah J. Haynie, Geoff Kushnick, Bruno Vilela, Ty Tuff, Claire Bowern +5 more
2020· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Entre « silence » et expression
Gillian G. Tan, Anne-Hélène Kerbiriou
2021· article· fr· Anthropologie et Sociétés· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About