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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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Environmental Impact and 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.

affaffiliation
fundfunder
venuejournal
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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.

1,268 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.
1,268 works in the cohort · of 4,299,418page 21 of 26

Labels cover 7 of 1,268 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 1,268 of 1,268 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.

affvenueaboutno abstractunlabeled
McGill Professor Awarded Marcus Wallenberg Prize Mangroves Cope with Sea Level Rise by Increasing Soil Height Signs of Forests Adapting to Growing CO<sub>2</sub> Levels LiDAR Best Practices Guide Available Brazil's Climate Investment Program Could China Lead in Saving Tropical Forests?
D. J. Collins, Kelvin Hirsch, Tim Williamson
2013· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Introduction
Mary J. Thornbush
2021· book-chapter· en· SpringerBriefs in environmental science· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundaboutunlabeled
Big and Little Feet Provincial Profiles: Quebec
Sarah Dobson, G. Kent Fellows
2017· article· en· The School of Public Policy Publications· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
NPRI_GHG_ASM_User_Guide.docx
Nouri Najjar, Jevan Cherniwchan
2019· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)81064-7
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Life Cycle Assessment report Thunderbird Old Arena
Dennis Fan, Sean Geyer, Hillary Kernahan, Josh Ruddock
2012· article· en· cIRcle (University of British Columbia)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Ultra-Low Carbon Technologies for Building Retrofits
Samantha Alyce Lane, Randy J. Irwin, Andrea Frisque, Jeanie Chan
2020· article· en· Building Simulation Conference proceedings· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Energy Efficiency Measures in Canada’s Iron and Steel Industry
Alireza Talaei, Md. Ahiduzzaman, Amit Kumar
2016· article· en· World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
General Motors Corporation (Canada)
Jerome Hoog, Anshuman Khare
2003· book-chapter· de· Deutscher Universitätsverlag eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About