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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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Atmospheric and Environmental Gas Dynamics
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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
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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.

5,307 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.
5,307 works in the cohort · of 4,299,418page 58 of 107

Labels cover 5 of 5,307 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 5,307 of 5,307 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.

affaboutunlabeled
Canadian Longitudinal Tract Database
Zack Taylor, Jeff Allen
2018· dataset· en· Borealis· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(95)97528-4
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
Editor's Notes
Christopher Gore
2012· article· en· Review of Policy Research· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
The Yukon data are incorrect
Alexander Poole
2023· letter· en· Canadian Journal of Surgery· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Corrigendum
Ross McKitrick, Stephen McIntyre, Chad Herman
2011· erratum· en· Atmospheric Science Letters· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Acid Rain Modeling
David M. Holland, A. Sirois
2014· other· en· Wiley StatsRef: Statistics Reference Online· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Assessing the SMAP Level-4 Carbon Product Over the Arctic and Subarctic Zones
Rémi Madelon, John S. Kimball, K. Arthur Endsley, Gabriëlle De Lannoy, Oliver Sonnentag, Haley Alcock +8 more
2025· article· en· IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Climate 1970-2020
Tapio Schneider
2020· book-chapter· en· Open Book Publishers· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About