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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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Cryospheric studies and observations
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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.

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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
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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 95 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.

affno abstractunlabeled
Atmospheric electric field variation during drifting snow
Yuko Suzuki, Masashi Kamogawa, Yasuhiro Minamoto, Akira Kadokura, Mitsuteru Sato
2015· article· en· Japan Geoscience Union· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Dynamics of heavy precipitation during Snow-V10
Mindy Brugman
2010· article· en· 14th Conference on Mountain Meteorology (30 August–3 September 2010)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sask Glacier Dynamic data set
Lucas Zoet, Nate Stevens
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2021-422
Michael Sigl, Matthew Toohey, Joseph R. McConnell, Jihong Cole‐Dai, Mirko Severi
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Ice shelf losses in the Canadian High Arctic, 2005-2010
Luke Copland, Trudy Wohlleben, Derek Mueller, Sierra Pope, Colleen Mortimer
2010· article· en· AGU Fall Meeting Abstracts· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Wickam, Alberta V. (Birth, 1902-10-09)
2012· other· en· Spectrum Research Repository (Concordia University)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
A century-long context for South Cascade Glacier mass balance
F. S. Anslow
2008· article· en· 13th Conference on Mountain Meteorology/17th Conference on Applied Climatology (11–15 August 2008)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Winter Doldrums
Helen Ramsdale
2003· article· en· Canadian Respiratory Journal· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Glacial Isostatic Adjustment in Alaska and British Columbia
Jeffrey T. Freymueller, C. F. Larsen, R. J. Motyka, Takumi Sato, Satoshi Miura, Weiyi Sun
2011· article· en· AGU Fall Meeting Abstracts· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on egusphere-2023-1603
Justin M. Pflug, Melissa L. Wrzesien, Sujay V. Kumar, Eunsang Cho, Kristi R. Arsenault, Paul R. Houser +1 more
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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