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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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Climate variability and models
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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
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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.

4,512 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.
4,512 works in the cohort · of 4,299,418page 4 of 91

Labels cover 5 of 4,512 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 4,512 of 4,512 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.

affno abstractunlabeled
ENSIP: the El Niño simulation intercomparison project
Mojib Latif, Kenneth R. Sperber, Julie M. Arblaster, P. Braconnot, D. Chen, Andrew Colman +28 more
2001· article· es· Climate Dynamics· Environmental Science
machine prediction:candidate · noneconsensus · none
283
citations
affunlabeled
Progress in ENSO prediction and predictability study
Youmin Tang, Rong‐Hua Zhang, Ting Liu, Wansuo Duan, Dejian Yang, Fei Zheng +5 more
2018· article· en· National Science Review· Environmental Science
machine prediction:candidate · noneconsensus · none
269
citations
affunlabeled
A real-time Global Warming Index
Karsten Haustein, Myles Allen, Piers Forster, Friederike E. L. Otto, Dann Mitchell, H. Damon Matthews +1 more
2017· article· en· Scientific Reports· Environmental Science
machine prediction:candidate · noneconsensus · none
266
citations
affunlabeled
Precipitation controls Sahel greening trend
Thomas Hickler, Lars Eklundh, Jonathan Seaquist, Benjamin Smith, Jonas Ardö, Lennart Olsson +2 more
2005· article· en· Geophysical Research Letters· Environmental Science
machine prediction:candidate · noneconsensus · none
261
citations
affaboutunlabeled
Coordinated Global and Regional Climate Modeling*
John Scinocca, V. V. Kharin, Yuanmei Jiao, Minwei Qian, Mike Lazare, Larry Solheim +4 more
2015· article· en· Journal of Climate· Environmental Science
machine prediction:candidate · noneconsensus · none
235
citations
aboutno affunlabeled
Is the Thermohaline Circulation Changing?
Mojib Latif, Claus W. Böning, Jürgen Willebrand, Arne Biastoch, Joachim Dengg, Noel Keenlyside +2 more
2006· article· en· Journal of Climate· Environmental Science
machine prediction:candidate · noneconsensus · none
233
citations
afffundno abstractunlabeled
Detection of human influence on sea-level pressure
Nathan P. Gillett, Francis W. Zwiers, Andrew J. Weaver, Peter A. Stott
2003· article· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
232
citations
affno abstractunlabeled
Climate sensitivity and response
G. J. Boer, Bin Yu
2003· article· en· Climate Dynamics· Environmental Science
machine prediction:candidate · noneconsensus · none
218
citations
affunlabeled
Annular mode changes in the CMIP5 simulations
Nathan P. Gillett, John C. Fyfe
2013· article· en· Geophysical Research Letters· Environmental Science
machine prediction:candidate · noneconsensus · none
218
citations

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