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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 and Social Impact Assessments
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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.

1,406 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.
1,406 works in the cohort · of 4,299,418page 25 of 29

Labels cover 3 of 1,406 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 1,406 of 1,406 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
British Columbia.
2001· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Ministry of Environment
2013· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Development
2010· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Acknowledgments
2010· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Livability and Transportation on Indian Reservations
Debbie S. Shinstine, Anthony Denzer, Khaled Ksaibati
2015· article· en· Journal of rural and community development· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Issue Information / Dans ce numéro
2021· paratext· fr· Canadian Geographies / Géographies canadiennes· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Environmental Damage Assessment - Canadian Style
Roger Percy, Sinclair Dewis, P. Hennigar
2003· article· en· International Oil Spill Conference Proceedings· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
HIA: A Methodological Overview
Catherine L. Ross, Marla Orenstein, Nisha Botchwey
2014· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Environmental Analysis of Toronto Neighbourhoods
Lunjun Zhang, Jenny Baek, Evgeny Bogopolskiy, Justin Palombo
2016· article· en· STEM Fellowship Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
First Steps on the Quality Journey
Tony O’Connor, Sean Hinds
2002· article· en· The International Hydrographic Review· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
18 SEA in Canada
Norma Powell
2005· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About