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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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Atmospheric and Environmental Gas Dynamics
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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.

5,307 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.
5,307 works in the cohort · of 4,299,418page 65 of 107

Labels cover 5 of 5,307 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 5,307 of 5,307 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
Ist Angst ein guter Ratgeber?
Stephan Heblich
2019· article· de· Zeitschrift für Immobilienökonomie· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
A statistical analysis of time trends in atmospheric ethane
Marina Friedrich, Eric Beutner, Hanno Reuvers, Stephan Smeekes, Jean‐Pierre Urbain, Whitney Bader +3 more
2020· preprint· en· Climatic Change· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CMIP forcing datasets update timeline
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CMIP forcing datasets update timeline
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Observation of CO from space over megacities
Matthieu Pommier, M. N. Deeter, Cathy Clerbaux
2012· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on amt-2024-27
Xiaoyi Zhao, Vitali Fioletov, Debora Griffin, C. A. McLinden, Ralf M. Staebler, Cristian Mihele +7 more
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Continued Use and Expansion of Photodynamic TURBT
Michael E. Rezaee, Max Kates
2023· article· en· Société Internationale d’Urologie Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CMIP forcing datasets update timeline
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CMIP forcing datasets update timeline
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Clean Power Generation from Coal
James W. Butler, Prabir Basu
2015· other· en· Mechanical Engineers' Handbook· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About