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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
Retraction
Abstract
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Label agreement
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
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
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 70 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.

affunlabeled
Comment on egusphere-2023-2724
Gemma Marie Brett, Greg H. Leonard, Wolfgang Rack, Christian Haas, Patricia J. Langhorne, Natalie Robinson +1 more
2024· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on gmd-2023-43
M. H. Baron, Ange Haddjeri, Matthieu Lafaysse, Louis Le Toumelin, Vincent Vionnet, Mathieu Fructus
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Dipti Tiwari
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Snow Depth
2006· report· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Observations of Greenland Ice Sheet mass loss over the past 2ka
Camilla S. Andresen, Jens Hesselbjerg Christensen, Mikkel Lauritzen, Inda Brinkmann, Christine S. Hvidberg, Larissa van der Laan +3 more
2024· preprint· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Boreas Hyd-3 Subcanopy Meteorological Measurements
Janet P. Hardy, Forrest G. Hall, David Knapp, Robert E. Davis, David E. Smith
2013· book· en· NASA Technical Reports Server (NASA)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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