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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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Species Distribution and Climate Change
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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.

7,879 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.
7,879 works in the cohort · of 4,299,418page 96 of 158

Labels cover 27 of 7,879 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 7,879 of 7,879 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.

aboutno affunlabeled
PKP 2017: Early Bird Registration is now open
Alejandra Casas Niño de Rivera
2017· preprint· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
How to critically read ecological meta-analyses.
Christopher J. Lortie, Gavin Stewart, Hannah R. Rothstein, Joseph Lau
2013· preprint· en· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Distributed databases for citizen science
Julien Jean Malard-Adam, Joel Harms, Wietske Medema
2022· preprint· en· Environmental Science
machine prediction:candidate · open_scienceconsensus · none
0
citations
affno abstractunlabeled
North America
Theresa M. Crimmins, Carla Arreguín-Magaña, Elisabeth G. Beaubien, Leticia Gómez Mendoza, Robert Guralnick, Erika Rocío Reyes González +1 more
2024· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Species Distributions
Robert J. Fletcher, Marie‐Josée Fortin
2025· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Citizen Science and Bears
Sarah Elmeligi, Owen T. Nevin, Ian Convery
2019· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About