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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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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 80 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
Comment on egusphere-2023-281
Katja Frieler, Jan Volkholz, Stefan Lange, Jacob Schewe, Matthias Mengel, Christian Otto +46 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Response to Reviewer 2
Katja Fennel
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Reply on RC1 and RC2
Andrew S. MacDougall
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC3
A.B. Tikhomirov
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Reply on RC2
Zhipeng Qu
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Comment on egusphere-2022-1331
David Griffith
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on sp-2023-10
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Reply on RC1
Lukas Fehr
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on Global Nitrous Budget 1980-2020
Hanqin Tian, Naiqing Pan, Rona L. Thompson, Josep G. Canadell, Parvadha Suntharalingam, Pierre Regnier +52 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on RC1
Jean-Philippe W. MacLean
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on essd-2024-519
andrew lenton
2025· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on CC1
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
ptafflist - La bourse du carbone du Canada
Miguel Tremblay
2005· article· fr· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Coarse mode aerosols in the High Arctic
Konstantin Baibakov, N. T. O’Neill, Jai Prakash Chaubey, A. Saha, T. J. Duck, E. W. Eloranta
2014· article· en· AGU Fall Meeting Abstracts· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Comment on egusphere-2022-710
Wiley Evans
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on amt-2022-120
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on amt-2021-370
M. N. Deeter, Gene Francis, J. C. Gille, Debbie Mao, H. M. Worden, Dan Ziskin +3 more
2021· peer-review· tr· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Review
2019· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Comment on egusphere-2022-641
Vivek K. Arora, Christian Seiler, Libo Wang, Sian Kou‐Giesbrecht
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Response to Reviewers
Lynsay Spafford
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
afffundunlabeled
Comment on bg-2023-96
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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