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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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Conservation, Biodiversity, and Resource Management
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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.

affaffiliation
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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.

1,802 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.
1,802 works in the cohort · of 4,299,418page 23 of 37

Labels cover 1 of 1,802 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 1,802 of 1,802 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
Planning and Law in Evolving Governance
Kristof Van Assche, Raoul Beunen, Anneke Smit, Gert Verschraegen
2014· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Predicting the way forward for the Global Biodiversity Framework
Damaris Zurell, Greta Bocedi, Santiago José Elías Velazco, Andrew Gonzalez, Andy Purvis, Brendan A. Wintle +16 more
2025· article· en· Proceedings of the National Academy of Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affvenueunlabeled
From Rio to Rwanda: Impacts of the IMFN over the past 20 years
Brian Bonnell, Ronnie De Camino, C. Diaw, Mark Johnston, Przemysław Majewski, Isabelo Montejo +2 more
2012· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Scaling up in community forest enterprises: the case of central Mexico
Lesly Elizabeth Solís-Mendoza, Laura Oliva Sánchez-Nupan, Ricardo Balam Castro-Torres, Gabriela De la Mora-De la Mora, Rob A Kozak, Guillaume Peterson St Laurent +2 more
2024· article· en· Socio-Ecological Practice Research· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Mapping the planet’s critical natural assets for people
Rebecca Chaplin‐Kramer, Rachel Neugarten, Richard Sharp, Pamela Collins, Stephen Polasky, David Hole +21 more
2021· preprint· en· Research Square· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Taking root
Rachel Cernansky
2021· article· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About