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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
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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.

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 78 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
Comment on egusphere-2022-1410
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reply on RC1
Makcim Luis De Sisto Lelchitskaya
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Referee comment on acp-2021-1039
Naveen Chandra, Prabir K. Patra, Yousuke Niwa, Akihiko Ito, Yosuke Iida, Daisuke Goto +5 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2021-141
McKenzie A. Kuhn, R. K. Varner, David Bastviken, Patrick Crill, Sally MacIntyre, Merritt R. Turetsky +3 more
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on essd-2020-307
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
blc20150308_03.txt
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Comment on npg-2022-2
Marek Stastna
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on amt-2022-43
Stefan Noà l, Maximilian Reuter, Michael Buchwitz, Jakob Borchardt, M. Hilker, Oliver Schneising +30 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC2
Victoria Flood
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Richard Sims
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
BOREAS TE-01 CH4 Flux Data over the SSA-OA
D. W. Anderson
2012· dataset· en· NASA Technical Reports Server (NASA)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
blc20161212_03.txt
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Reply on RC1
Russell Deitrick
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About