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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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Meteorological Phenomena and Simulations
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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.

1,904 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.
1,904 works in the cohort · of 4,299,418page 24 of 39

Labels cover 1 of 1,904 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 1,904 of 1,904 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
10.1016/s0967-0653(97)80095-6
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
fundno affunlabeled
Dataset on the first weather radar campaign over Lima, Peru
Jairo M. Valdivia, Danny Scipión, Marco Milla, Josep J. Prado, Juan C. Espinoza, Darwin. Córdova +4 more
2021· article· en· Data in Brief· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundaboutno affunlabeled
Fog Intermittency and Critical Behavior
Kelly Y. Huang, Gabriel G. Katul, Thomas J. Hintz, Jesus Ruiz‐Plancarte, Qing Wang, Harindra J. S. Fernando
2023· article· en· Atmosphere· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
TDRM/TDLM Workshop at the AOAC INTERNATIONAL Annual Meeting 2013
Hendrik Emons, Jane Weitzel, John Budin, Jack Cappozzo, Greg Jaudzem, Michael A. Quilliam +4 more
2014· article· en· Accreditation and Quality Assurance· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Heavy convective rain events over Québec: a forecasting tool
Serge Mainville
2004· article· en· 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
On Predicting Maximum Snowfall
Max L. Dupilka, Gerhard W. Reuter
2008· book-chapter· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Masthead
Amy McGovern, John T. Allen, William W. Campbell, S. Scott Collis, John David, Michael Scheuerer +29 more
2022· paratext· en· Artificial Intelligence for the Earth Systems· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affaboutno abstractunlabeled
A case study of three severe Tornadic storms in Alberta, Canada
Max L. Dupilka
2004· article· en· 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Forecast verification for subseasonal-to-seasonal timescales
Caio A. S. Coelho, Barbara G. Brown, Laurie Wilson, Marion Mittermaier, Barbara Casati, Yuhei Takaya
2025· book-chapter· en· Elsevier eBooks· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
NOAA profiler network and other emerging global profiler networks
Margot H. Ackley, Kenneth S. Gage
2003· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)81755-8
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Physical Simulation of Real Tornadoes
Maryam Refan, Horia Hangan
2015· article· en· Structures Congress 2015· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations

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