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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 83 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.

afffundaboutunlabeled
Reply on RC2
Nasrin Mostafavipak
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reply on RC1
Yifan Guan
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-384
David P. Donovan, Pavlos Kollias, Almudena Velázquez Blázquez, Gerd‐Jan van Zadelhoff
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on egusphere-2022-1125
Sepehr Fathi, Mark Gordon, Yongsheng Chen
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reply on RC2
Sabrina Hohmann
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on amt-2022-322
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2025-3512
2025· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · 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
aboutno affunlabeled
Review of Lee et al.
2019· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
OCEANS 2024 - Halifax
2024· paratext· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Comment on essd-2024-115
Marielle Saunois, Adrien Martinez, Benjamin Poulter, Zhen Zhang, Peter A. Raymond, Pierre Regnier +60 more
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2024-456
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on egusphere-2023-2764
2024· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-2370
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on egusphere-2022-710
Richard Sims, Mohamed Ahmed, Brian Butterworth, Patrick J. Duke, Stephen F. Gonski, Samantha F. Jones +4 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)85520-2
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Comment on amt-2022-135
Can Li, Joanna Joiner, Fei Liu, N. A. Krotkov, Vitali Fioletov, C. A. McLinden
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2022-771
Zhan Zhang, Evan David Sherwin, Daniel J. Varon, Adam R. Brandt
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on amt-2022-43
Thomas E. Taylor
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
blc20150503_03.txt
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Comment on essd-2022-281
Vitali Fioletov, C. A. McLinden, Debora Griffin, Ihab Abboud, N. A. Krotkov, Peter Leonard +4 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on acp-2022-319
Cynthia Whaley, Kathy S. Law, J. Hjorth, Henrik Skov, S. R. Arnold, Joakim Langner +33 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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