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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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Global Sustainability
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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.

32 results · 1 filter active ·
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20182025
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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.
32 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 32 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 32 of 32 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
Upscaling urban data science for global climate solutions
Felix Creutzig, Steffen Lohrey, Xuemei Bai, Alexander Baklanov, Richard Dawson, Shobhakar Dhakal +5 more
2019· article· en· Global Sustainability· Environmental Science
machine prediction:candidate · noneconsensus · none
135
citations
afffundunlabeled
Navigating trade-offs between dams and river conservation
Michele Thieme, David Tickner, Günther Grill, Juan Pablo Carvallo, Marc Goichot, Joerg Hartmann +7 more
2021· article· en· Global Sustainability· Social Sciences
machine prediction:candidate · noneconsensus · none
70
citations
affunlabeled
Collective foresight and intelligence for sustainability
Sylvia Wood, Amy Luers, Jennifer Garard, Ajay Gambhir, Kalpana Chaudhari, Maria Ivanova +1 more
2021· article· en· Global Sustainability· Social Sciences
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
Ten new insights in climate science 2023
Mercedes Bustamante, Joyashree Roy, Daniel Ospina, Ploy Achakulwisut, Anubha Aggarwal, Ana Bastos +72 more
2023· article· en· Global Sustainability· Environmental Science
machine prediction:candidate · noneconsensus · none
42
citations
afffundunlabeled
Ten new insights in climate science 2022
Maria A. Martin, Emmanuel Amoah Boakye, Emily Boyd, Wendy Broadgate, Mercedes Bustamante, Josep G. Canadell +59 more
2022· article· en· Global Sustainability· Environmental Science
machine prediction:candidate · noneconsensus · none
32
citations
afffundunlabeled
Ten new insights in climate science 2020 – a horizon scan
Erik Pihl, Eva Alfredsson, Magnus Bengtsson, Kathryn Bowen, Vanesa Castán Broto, Kuei-Tien Chou +51 more
2021· article· en· Global Sustainability· Social Sciences
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Recentering evolution for sustainability science
Ella Vázquez‐Domínguez, Rees Kassen, Sibylle Schroer, Luc De Meester, Marc T. J. Johnson
2024· article· en· Global Sustainability· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Fostering water resilience in the Anthropocene
Lan Wang‐Erlandsson, Michele‐Lee Moore, Line Gordon, Carl Folke, Malin Falkenmark
2025· article· en· Global Sustainability· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About