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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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Global Energy and Sustainability Research
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,056 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.
2,056 works in the cohort · of 4,299,418page 32 of 42

Labels cover 5 of 2,056 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 2,056 of 2,056 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.

venueno affno abstractunlabeled
10.1016/0967-0653(96)82170-3
2000· article· en· Time to knit· Energy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Table of Contents
2008· article· en· Natural Gas & Electricity· Energy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
The International Environment - May 2000
Martin Brooke
2005· article· en· SSRN Electronic Journal· Energy
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
How much will that annuity cost me?
Reinhard Illner, C. Bohun, S. Andy McCollum, Thea van Roode
2004· book-chapter· en· Student mathematical library· Energy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Oil Exporters to the Euro's Rescue?
Philip K. Verleger
2011· preprint· en· RePEc: Research Papers in Economics· Energy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Upheaval of the Earth
Lea Murphy
2010· article· en· Divergent/Convergent· Energy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Oil Demand and Stocks
2021· article· en· Oil and Energy Trends· Energy
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Description of Biofuels and Shale Gas Development
Karel Janda, Jakub Kouřílek
2016· preprint· en· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Energy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Epilogue
O. V. Roussak, H. D. Gesser
2012· book-chapter· en· Applied Chemistry· Energy
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Are we running out of oil
Lawrence Martin
2004· article· en· Transport Research Forum· Energy
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Prospect of Natural Gas Storage
Mingxing Bai, Zhichao Zhang, Kaoping Song, Wentao Shang
2016· article· en· Studies in sociology of science· Energy
machine prediction:candidate · stsconsensus · none
0
citations
aboutno affunlabeled
Market Analysis for Petroleum 2020
Franz J. Meyer
2020· article· en· Journal of Industrial Pollution Control· Energy
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Who Pays for the Energy Transition?
Matthew Keen, Michael Manhas, Emma Russell
2023· article· en· Alberta Law Review· Energy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Non-conventional fossil fuels
R. L. Evans
2012· book-chapter· en· Cambridge University Press eBooks· Energy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fossil Fuels Divestment: Is It Lawful?
Benjamin J. Richardson
2016· article· en· eCite Digital Repository (University of Tasmania)· Energy
machine prediction:candidate · noneconsensus · none
0
citations
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