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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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Air Quality Monitoring and Forecasting
Retraction
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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.

857 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.
857 works in the cohort · of 4,299,418page 8 of 18

Labels cover 0 of 857 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 857 of 857 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Environmental monitoring: A changing challenge
Evert Nieboer
2009· editorial· en· Journal of Environmental Monitoring· Environmental Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
1
citations
affunlabeled
Air quality : its impact on climate change
Tirusha Tambrian
2012· article· en· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affunlabeled
Sustainable AI-Based Prediction of Air Pollution Levels in London
Megha Hegde, Jean‐Christophe Nebel, Farzana Rahman
2024· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Environmental Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Data for Breivik et al. 2020 COSMIC Release
Katelyn Breivik, Scott Coughlin, M. Zevin, Carl L. Rodriguez, Kyle Kremer, Claire S. Ye +5 more
2020· dataset· en· Figshare· Environmental Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
GTA Bike Surveys - Summer 2018 - Uncalibrated data
Debra Wunch, Colin Arrowsmith, Sébastien Ars, Emily Knuckey, Nasrin Mostafavi Pak, Jaden L. Phillips
2018· dataset· en· Borealis· Environmental Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)82855-4
2000· article· en· Time to knit· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
A Mobile Sensor Network to Map CO 2 in Urban Environments
Jaimie J. Lee, Andreas Christen, Zoran Nesic, Rick Ketler
2014· article· en· 2014 AGU Fall Meeting· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
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