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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
fundfunder
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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
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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 57 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.

affunlabeled
Iran’s Changing Climate over the Past 30 Years
Pedram Attarod, A. Dezhban, Thomas G. Pypker, Sh. Kh. Sigaroodi, Vilma Bayramzadeh, Qiuhong Tang +2 more
2023· article· en· Russian Meteorology and Hydrology· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
The Physical Basis for Climate Change
Desmond Leddin
2023· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Reflections on the CLIVAR Early Career Scientists Symposium 2016
Neil C. Swart, Julius Busecke, Gaby S. Langendijk, Kevin A. Reed, Sarah M. Kang, Erik Behrens +5 more
2018· article· en· npj Climate and Atmospheric Science· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About