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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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Energy, Environment, and Transportation Policies
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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.

917 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.
917 works in the cohort · of 4,299,418page 14 of 19

Labels cover 2 of 917 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 917 of 917 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
Sweden
2023· article· en· IMF Staff Country Reports· Energy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
National Carbon Pricing in Canada
Fenner L. Stewart, Scott A. Carrière
2023· book-chapter· en· University of Calgary Press eBooks· Energy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
New AI method analyzes Swiss fleet consumption
2022· article· en· Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)· Energy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A Second Act for Carbon Pricing?
Barry G. Rabe
2018· book-chapter· en· The MIT Press eBooks· Energy
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
CPERE 2023 Panel Discussion
Deepak Divan, John J. Pippin, Liuchen Chang
2023· article· en· Energy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Outgassing
2011· book-chapter· en· Encyclopedia of Astrobiology· Energy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Solar System Integrations With Rebound
Hanno Rein, Daniel Tamayo
2017· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Energy
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About