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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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Environmental Monitoring and Data Management
Retraction
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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
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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.

299 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.
299 works in the cohort · of 4,299,418page 5 of 6

Labels cover 3 of 299 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 299 of 299 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 affno abstractunlabeled
Paper to Appear in ARCTIC
ARCTIC Editor
2009· article· en· ARCTIC· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Linnaeus builds a search engine
Mary P. Winsor
2025· article· en· European Journal of Taxonomy· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction
D. Aguado, J. Alferes, Queralt Plana, M.V. Ruano, Ola Samuelsson, Kris Villez
2024· book-chapter· en· IWA Publishing eBooks· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Types of data: terminology and examples
Queralt Plana, Kris Villez
2024· book-chapter· en· IWA Publishing eBooks· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A services-oriented infrastructure for e-science
Syed Sibte Raza Abidi
2013· article· en· Qatar Foundation Annual Research Forum Volume 2013 Issue 1· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Use of lake sensor data in student education
A. Pouwels, David P. Hamilton, Peter Arzberger, T.K. Kratz, Fan-Yu Lin
2009· article· en· SIL Proceedings 1922-2010· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
20181211-icews-events.zip
Elizabeth Boschee, Jennifer Lautenschlager, Sean O’Brien, Steve Shellman, James Starz
2018· dataset· ru· Harvard Dataverse· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Quebec, Quebec Bridge
2010· other· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Acquisitions et
2014· article· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
The Seaformatics technology demonstration project
Andrew Cook, Vlastimil Masek, Geoff Holden, Adam Press, Robert L. Boyd
2014· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
20190613-icews-events.zip
Elizabeth Boschee, Jennifer Lautenschlager, Sean O’Brien, Steve Shellman, James Starz
2019· dataset· ja· Harvard Dataverse· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About