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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.

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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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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.

5,389 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.
5,389 works in the cohort · of 4,299,418page 93 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.

aboutno affunlabeled
Reply on RC2
Kathrin Maier
2025· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
In this issue of <i>Weather</i>
2016· article· en· Weather· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
High North
Vladimir Natenadze
2024· article· en· Caucasus Journal of Social Sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply to L. Kutzbach
Dmitry Khvorostyanov, Gerhard Krinner, Philippe Ciais, Martin Heimann, S. A. Zimov
2009· article· en· Tellus B· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Canada’s coastal dynamics from multi-decadal Landsat
Ian Olthof, Gavin K. Manson, T. S. James, C. Doughty
2025· article· en· Progress in Physical Geography Earth and Environment· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2024
Md Obaidul Haque, Md Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Daniel R. Steinwand +13 more
2025· article· en· Antarctica A Keystone in a Changing World· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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