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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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Cryospheric studies and observations
Retraction
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Label status

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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venuejournal
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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.

4,944 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.
4,944 works in the cohort · of 4,299,418page 98 of 99

Labels cover 4 of 4,944 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 4,944 of 4,944 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
Maxime Beaudoin-Galaise
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on tc-2021-163
Charles Fierz
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on RC4
Marit Van Tiel
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Comment on hess-2021-349
Dhiraj Pradhananga, John W. Pomeroy
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on RC1
Donghang Shao
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply on RC2 and RC3
Marit Van Tiel
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Review of Ashokkumar and Harig
2020· preprint· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Reply on RC2
Tamara Pico
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
GIS Data Model
Douglas D. Scott
2004· article· en· Proceedings of the 2004 International Snow Science Workshop, Jackson Hole, Wyoming· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on tc-2021-359
Jayson Eppler, Bernhard Rabus, Peter Morse
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundaboutno affunlabeled
Comment on essd-2023-59
Robert Hellström
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Comment on essd-2023-59
Hadleigh D. Thompson, Julie M. Thériault, Stephen J. Déry, Ronald E. Stewart, Dominique Boisvert, Lisa Rickard +3 more
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundaboutno affunlabeled
Reply on RC1
Kristian Chan
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-611
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reply on AC3
Charles Amory
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Reply on RC2
Tamara Pico
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Comment on nhess-2023-112
Zachary Miller
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Reply on CC1
Anton Jitnikovitch
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on hess-2022-51
Jonathan Mackay
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Comment on hess-2023-191
Benjamin Bouchard, Daniel F. Nadeau, Florent Dominé, Tobias Jonas
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Reply on RC3
Kamil Mróz
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affgemma · no categorygpt · no categorymodels agree
Review of TC-2019-81
2019· preprint· fr· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on tc-2022-102
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
412 • REVIEWS Typographical
2016· article· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Little Horn, Bow Glacier, Alberta
Vaughan Grayson
2007· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on RC1
Julien Meloche
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on tc-2022-69
Matteo Guidicelli, Matthias Huss, Marco Gabella, Nadine Salzmann
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Reply on RC2
Donghang Shao
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on essd-2021-160
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Comment on egusphere-2023-420
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Comment on tc-2021-354
Maxime Beaudoin-Galaise, Sylvain Jutras
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Comment on egusphere-2023-2408
Brian Menounos, Alex Gardner, Caitlyn Forentine, Andrew G. Fountain
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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