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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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Energy & Environmental Science
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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.

257 results · 1 filter active ·
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20082025
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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.
257 works in the cohort · of 4,299,418page 2 of 6

Labels cover 0 of 257 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 257 of 257 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.

fundno affunlabeled
Pathways to electrochemical solar-hydrogen technologies
Shane Ardo, David Fernández Rivas, Miguel A. Modestino, Verena Schulze Greiving, Fatwa F. Abdi, Esther Alarcón‐Lladó +39 more
2018· article· en· Energy & Environmental Science· Energy
machine prediction:candidate · noneconsensus · none
346
citations
affunlabeled
Liquid metal batteries for future energy storage
Shilin Zhang, Ye Liu, Qining Fan, Chaofeng Zhang, Tengfei Zhou, Kourosh Kalantar‐Zadeh
2021· article· en· Energy & Environmental Science· Engineering
machine prediction:candidate · noneconsensus · none
269
citations
affunlabeled
Triboelectric nanogenerators: providing a fundamental framework
R.D.I.G. Dharmasena, K. D. G. Imalka Jayawardena, C. A. Mills, Jonathan H. B. Deane, José V. Anguita, Robert Dorey +1 more
2017· article· en· Energy & Environmental Science· Engineering
machine prediction:candidate · noneconsensus · none
253
citations
afffundunlabeled
The carbon footprint of the carbon feedstock CO<sub>2</sub>
Leonard Jan Müller, Arne Kätelhön, Stefan Bringezu, Sean McCoy, Sangwon Suh, Robert Edwards +7 more
2020· article· en· Energy & Environmental Science· Engineering
machine prediction:candidate · noneconsensus · none
206
citations
affunlabeled
Fischer–Tropsch fuels refinery design
Arno de Klerk
2011· article· en· Energy & Environmental Science· Engineering
machine prediction:candidate · noneconsensus · none
194
citations

How this was built: Screen · Findings · About