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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 17 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.

affaboutunlabeled
The New Alberta Hail Suppression Project
T. W. Krauss, J. H. Renick
2021· article· en· The Journal of Weather Modification· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Lake-Effect Snowbands in Baroclinic Environments
Daniel T. Eipper, Steven J. Greybush, George S. Young, Seth Saslo, Todd D. Sikora, Richard D. Clark
2019· article· en· Weather and Forecasting· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
High‐Latitude Eddy Covariance Temporal Network Design and Optimization
Martijn Pallandt, Martin Jung, Kyle A. Arndt, Susan M. Natali, Brendan M. Rogers, Anna‐Maria Virkkala +1 more
2024· article· en· Journal of Geophysical Research Biogeosciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
An Empirical Analysis of Bulk Cn2 Models over Water
Guy Potvin, Denis Dion, Jacques Claverie, Paul A. Frederickson, K. L. Davidson, J. Luc Forand
2008· article· en· Journal of Applied Meteorology and Climatology· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affaboutunlabeled
Reply
Youmin Tang, Jaison Thomas Ambadan
2009· article· en· Journal of the Atmospheric Sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
The Lognormal Distribution
Brian E. Smith, Francis J. Merceret
2000· article· en· College Mathematics Journal· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
6
citations

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