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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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 45 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.

venueno affunlabeled
Science highlights from the Kjell Henriksen Observatory on Svalbard
Katie Herlingshaw, Noora Partamies, Charlotte M. van Hazendonk, Lisa Baddeley, Magnar G. Johnsen, Nina Kristine Eriksen +9 more
2024· article· en· Arctic Science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Physics-Constrained Deep Learning for Downscaling
Paula Harder, Venkatesh Ramesh, Álex Hernández-García, Qidong Yang, Prasanna Sattigeri, Daniela Szwarcman +2 more
2023· preprint· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Subglacial Drainage
Martin Sharp
2005· other· en· Encyclopedia of Hydrological Sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
STUDY ON ESTIMATION METHOD FOR SURCHARGE SNOW LOAD DUE TO RAINFALL
Masaya Otsuki, Toru Takahashi, Tsukasa Tomabechi, Takahiro Chiba, Takuya TSUTSUMI, Isao Kamiishi +4 more
2017· article· en· Journal of Structural and Construction Engineering (Transactions of AIJ)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
A composite isotopic thermometer for snow
G. Holdsworth
2008· article· en· Journal of Geophysical Research Atmospheres· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About