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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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Forest Insect Ecology and Management
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.

2,754 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.
2,754 works in the cohort · of 4,299,418page 43 of 56

Labels cover 2 of 2,754 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 2,754 of 2,754 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
Preface
John R. Spence, Achille Casale, Thorsten Aßmann, James K. Liebherr, Lyubomir Penev
2021· article· en· ZooKeys· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Ring Species
Darren E. Irwin, Shawn R. Kuchta, David B. Wake
2024· book-chapter· en· Elsevier eBooks· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
IPBES IAS assessment, list of literature for Chapter 3
Philip E. Hulme, Vigdis Vandvik, Ryan Blanchard, Morelia Camacho‐Cervantes, Illeana Herrera, Asuka Koyama +10 more
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Andrena (Callandrena) manifesta BC (SDNHM
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Abstract
Edward Mutandwa, Robert K. Grala, Rachel Plawecki, Stefan Renckens, Graeme Auld, Jason G. Vogel +19 more
2015· article· en· Journal of Forestry· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
<i>Agrilus anxius</i> . [Distribution map].
CABI, EPPO
2011· article· en· Distribution Maps of Plant Pests· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
BOOK REVIEWS
David J. Arsenault, A. Richard Palmer
2000· article· en· American Zoologist· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Ontario’s Future with the Emerald Ash Borer
Paulina Pisarek, Dylan MacDonell, Mathieu Tassie
2011· article· en· uO Research (University of Ottawa)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About