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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
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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 81 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.

aboutno affunlabeled
Reply on RC2
Qiaoyun Hu
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-167
Sian Kou‐Giesbrecht, Vivek K. Arora, Christian Seiler, Almut Arneth, Stefanie Falk, Atul K. Jain +8 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Comment on essd-2021-43
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2023-409
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on egusphere-2023-2219
Shyno Susan John
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply on RC1
Zhu Deng
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply on RC2
Lu Xiao
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on amt-2020-515
A. N. Tikhomirov, Glen Lesins, J. R. Drummond
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on egusphere-2023-1431
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC1
Daniel Wesley
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Comment on acp-2022-120
Sean Crowell, Berrien Moore
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on AC1
Thomas M. Blattmann
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on AC3
Thomas M. Blattmann
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
H. S. Marey
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2022-15
Fei Jiang, Weimin Ju, Wei He, Mousong Wu, Hengmao Wang, Jun Wang +4 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on amt-2021-112
H. S. Marey, James R. Drummond, Dylan B. A. Jones, H. M. Worden, M. N. Deeter, J. C. Gille +1 more
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Comment on amt-2020-515
John J. Cassano
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on RC1
Xiao Lu
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundaboutno affunlabeled
Comment on amt-2021-230
T. Pernini, T. Scott Zaccheo, J. T. Dobler, Nathan Blume
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on bg-2021-4
Thomas M. Blattmann
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reply on CC1
Hélène Peiro
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on AC2
Parsa Gooya
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on egusphere-2022-1022
C. O’Dell
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on acp-2022-749
Daniel J. Varon, Daniel J. Jacob, Benjamin Hmiel, Ritesh Gautam, David Lyon, Mark Omara +15 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on amt-2022-315
Tobias Borsdorff, T. Campos, Natalie Kille, Rainer Volkamer, Jochen Landgraf
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC2
Judith Vogt
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC2
Parsa Gooya
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on acp-2022-438
Therese S. Carter, Colette L. Heald, Jesse H. Kroll, Eric C. Apel, D. R. Blake, Matthew M. Coggon +12 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on esd-2022-19
Parsa Gooya, Neil C. Swart, Roberta C. Hamme
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on egusphere-2023-561
Sabrina Hohmann, Michal Kučera, Anne de Vernal
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Reply on RC2
Patrick J. Duke
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-649
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-2456
Jean-François Mà ⁄ ller, Trissevgeni Stavrakou, Glenn-Michael Oomen, Beata Opacka, Isabelle De Smedt, Alex Guenther +23 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-1955
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on amt-2023-195
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Shoma Yamanouchi
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About