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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 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
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.

5,307 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.
5,307 works in the cohort · of 4,299,418page 105 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.

affunlabeled
Reviews
Ray Wood, Patrick Taylor, William R. Green, Michael A. Slawiński, Richard Nolen‐Hoeksema, Doo Jung Jin +6 more
2001· article· en· The Leading Edge· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reviews
Azra N. Tutuncu, Wooil M. Moon, Dmitri Bevc
2010· article· en· The Leading Edge· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Keep an eye on global temperature changes
S. Yang, H Y Yao, Yuxuan Sun, H. Cai
2023· article· en· Advances in Engineering Technology Research· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Aeolus Winds Improve Arctic Weather Prediction
Chih‐Chun Chou, Paul J. Kushner, Zen Mariani
2024· article· en· Journal of Geophysical Research Atmospheres· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reviews
Wooil M. Moon, Ronald Green, R.W. Saltus, Patrick Taylor, Thomas L. Davis
2004· article· en· The Leading Edge· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reiff Receives 2009 Athelstan Spilhaus Award
Robert E. Eather, P. H. Reiff
2009· article· en· Eos· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC2
Cynthia Whaley
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
2018 SPE President Darcy Spady
Darcy Spady
2017· article· en· Journal of Petroleum Technology· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
CAIRT - the Changing-Atmosphere Infra-Red Tomography Explorer
Felix Friedl-Vallon, Björn‐Martin Sinnhuber, Peter Preusse, Martyn P. Chipperfield, Quentin Errera, B. Funke +13 more
2021· article· en· OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC2
Alex Mavrovic
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
SHOCK SYNOPSIS SEPTEMBER 2025
Mahmoud Farahat, Ghazaleh Dadashi Zadeh, Marc G. Jeschke
2025· article· en· Shock· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About