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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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Atmospheric aerosols and clouds
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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.

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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.

1,467 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.
1,467 works in the cohort · of 4,299,418page 1 of 30

Labels cover 1 of 1,467 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 1,467 of 1,467 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
Microphysical characterization of mixed‐phase clouds
Alexei Korolev, George A. Isaac, Stewart G. Cober, J. W. Strapp, John Hallett
2003· article· en· Quarterly Journal of the Royal Meteorological Society· Environmental Science
machine prediction:candidate · noneconsensus · none
369
citations
aboutno affunlabeled
PARSIVEL Snow Observations: A Critical Assessment
Alessandro Battaglia, Elke Rustemeier, Ali Tokay, Ulrich Blahak, Clemens Simmer
2009· article· en· Journal of Atmospheric and Oceanic Technology· Environmental Science
machine prediction:candidate · noneconsensus · none
317
citations
affaboutunlabeled
The Fog Remote Sensing and Modeling Field Project
Ismail Gültepe, Garry Pearson, Jason A. Milbrandt, Bjarne Hansen, Steven Platnick, Peter A. Taylor +3 more
2008· article· en· Bulletin of the American Meteorological Society· Environmental Science
machine prediction:candidate · noneconsensus · none
308
citations
affaboutunlabeled
Indirect and Semi-direct Aerosol Campaign
Greg M. McFarquhar, S. J. Ghan, Johannes Verlinde, Alexei Korolev, J. W. Strapp, B. Schmid +28 more
2010· article· en· Bulletin of the American Meteorological Society· Environmental Science
machine prediction:candidate · noneconsensus · none
308
citations
fundno affunlabeled
Cirrus Clouds
Andrew J. Heymsfield, Martina Krämer, Anna Luebke, P. R. A. Brown, Daniel J. Cziczo, Charmaine Franklin +5 more
2016· article· en· Meteorological Monographs· Environmental Science
machine prediction:candidate · noneconsensus · none
278
citations
aboutno affunlabeled
Wildfire smoke injection heights: Two perspectives from space
Ralph A. Kahn, Yang Chen, David L. Nelson, F. T. Leung, Qinbin Li, David J. Diner +1 more
2008· article· en· Geophysical Research Letters· Environmental Science
machine prediction:candidate · noneconsensus · none
275
citations
affunlabeled
Atmospheric Aerosol Optical Properties in the Persian Gulf
A. Smirnov, B. N. Holben, Оleg Dubovik, N. T. O’Neill, T. F. Eck, Douglas L. Westphal +3 more
2002· article· en· Journal of the Atmospheric Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
200
citations

How this was built: Screen · Findings · About