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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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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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Citations
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 82 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
Reply on RC2
Daniel Wesley
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC2
Shoma Yamanouchi
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-2045
Charles Amory, Christoph Kittel
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on egusphere-2024-1655
Sepehr Fathi
2024· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Judith Vogt
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on amt-2022-267
Joshua L. Laughner, Sébastien Roche, Matthäus Kiel, Geoffrey C. Toon, Debra Wunch, Bianca C. Baier +10 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reply on RC1
Hélène Peiro
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on acp-2022-862
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on acp-2021-719
Adam A. Scaife, Mark Baldwin, Amy H. Butler, Andrew Charlton‐Perez, Daniela I. V. Domeisen, Chaim I. Garfinkel +13 more
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on gmd-2022-191
Makcim L. De Sisto, Andrew H. MacDougall, Nadine Mengis, Sophia Antoniello
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on CC2
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-2246
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on bg-2021-130
Makoto Saito, Tomohiro Shiraishi, Ryuichi Hirata, Yosuke Niwa, Kazuyuki Saitô, Martin Steinbacher +2 more
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2022-1410
Lev Tarasov, Michael J. Goldstein
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC1
Thomas K. Flesch
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on acp-2021-975
Cynthia Whaley, Rashed Mahmood, Knut von Salzen, Barbara Winter, Sabine Eckhardt, S. R. Arnold +50 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-2413
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2022-549
Daniel Wesley, S R Dallimore, Roger MacLeod, Torsten Sachs, David Risk
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Comment on amt-2023-99
Douglas E. J. Worthy, Michele K. Rauh, Lin Huang, Felix Vogel, Alina Chivulescu, K. A. Masarie +16 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2022-549
Daniel Wesley, S R Dallimore, Roger MacLeod, Torsten Sachs, David Risk
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ISAMO (Iron Salt Atmospheric Methane Oxidation)
Maarten van Herpen, Matthew S. Johnson, Berend van de Kraats, Qinyi Li, Alfonso Saiz‐Lopez, Jesper Baldtzer Liisberg +2 more
2023· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Victoria Flood
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC1
Zhipeng Qu
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Comment on amt-2022-301
Zhipeng Qu, Howard W. Barker, Jason N. S. Cole, Mark W. Shephard
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on egusphere-2023-1161
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Comment on egusphere-2022-923
Libo Wang, Vivek K. Arora, Paul D. Bartlett, Ed Chan, Salvatore R. Curasi
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Comment on gmd-2022-191
2023· peer-review· en· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Reply on RC1
Mahesh Kumar Sha
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on amt-2023-193
Lawson Gillespie, Sébastien Ars, James Phillip Williams, Louise Klotz, Tianjie Feng, Stephanie Gu +6 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2022-442
Monica Crippa, Diego Guizzardi, Tim Butler, Terry Keating, Rosa Wu, J. W. Kaminski +27 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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