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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
Evidence
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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 11 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.

affunlabeled
Can green power save us from climate change?
M. Scott Taylor
2014· article· en· Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics· Energy
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Pitfalls of coal peak prediction
David W. Keith, Juan Moreno‐Cruz
2011· letter· en· Nature· Energy
machine prediction:candidate · noneconsensus · none
3
citations
afffundvenueaboutunlabeled
Canadian productivity growth: Stuck in the oil sands
Oliver Loertscher, Pau Pujolas
2024· article· en· Canadian Journal of Economics/Revue canadienne d économique· Energy
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Solarities or Solarculture
Sheena Wilson
2021· article· en· South Atlantic Quarterly· Energy
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Balancing climate and development goals
Lei Duan, Juan Moreno‐Cruz, Ken Caldeira
2020· article· en· Environmental Research Letters· Energy
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The Anthropocene Thesis
Simon Dalby
2018· reference-entry· en· Energy
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Thermodynamic fundamentals
İbrahim Dinçer, Marc A. Rosen
2020· book-chapter· en· Elsevier eBooks· Energy
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Hidden Scourge
Kevin P. Timoney
2021· book· en· McGill-Queen's University Press eBooks· Energy
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
The Relationship
Paul Cellucci
2005· article· en· International Journal Canada s Journal of Global Policy Analysis· Energy
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Natural Gas: The Excruciating Transition
R.E. Oligney, M.J. Economides
2002· article· en· Proceedings of SPE Annual Technical Conference and Exhibition· Energy
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
The Alberta Oil Sands
Farhood Rahnama, Richard A. Marsh, LeMoine Philp
2013· book-chapter· en· American Association of Petroleum Geologists eBooks· Energy
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
The Era of Climate Security
Bruno Charbonneau
2024· article· en· Canadian Military Journal· Energy
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Environmental risks and opportunities of biofuels
Annette Cowie, Alan Cowie, Sampo Soimakallio, Miguel Brandão
2016· book-chapter· en· Edward Elgar Publishing eBooks· Energy
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Global Pollution: How Much Is Too Much?
J. T. Trevors, Milton H. Saier
2009· article· en· Water Air & Soil Pollution· Energy
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)89019-9
2000· article· en· Time to knit· Energy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
aboutno affunlabeled
Reserves Growth: Enigma, Expectation or Fact?
Dennis Beliveau, Richard Baker
2003· article· en· Proceedings of SPE Annual Technical Conference and Exhibition· Energy
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
La lutte antinucéaire au Canada
Ronald Babin
2002· article· fr· Sociologie et sociétés· Energy
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Fish
U. Rashid Sumaila, Daniel Pauly
2020· book-chapter· en· Open Book Publishers· Energy
machine prediction:candidate · noneconsensus · none
2
citations
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