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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 change and permafrost
Retraction
Abstract
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Study design
Label agreement
Label status

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
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

5,389 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.
5,389 works in the cohort · of 4,299,418page 96 of 108

Labels cover 8 of 5,389 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 5,389 of 5,389 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.

fundno affunlabeled
Reply on RC2
Francisco José Cuesta‐Valero
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
REFERENCES
2013· article· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply on RC1
Konstantin Muzalevskiy
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on RC2
Konstantin Muzalevskiy
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Review of bg-2021-337
Liam Heffernan, Maria A. Cavaco, Maya P. Bhatia, Cristian Estop-Aragonés, Klaus‐Holger Knorr, David Olefeldt
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
2012 USGS Lidar: North Slope, Alaska
Alaska. Charleston, at https, dataviewer.
2018· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on hess-2023-297
2024· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC1
hongwei liu
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2023-222
Xiaoran Zhu, Dong Chen, Maruko Kogure, Elizabeth Hoy, Logan T. Berner, Amy Breen +22 more
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundaboutno affunlabeled
Comment on tc-2021-313
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About