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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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Science and Climate Studies
Retraction
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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
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.

249 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
249 works in the cohort · of 4,299,418page 4 of 5

Labels cover 0 of 249 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 249 of 249 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
VEGETATION OF THE CONTINENTAL
2016· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Getting to the Heart of It
Brad Tabas
2020· article· en· Conversations The Journal of Cavellian Studies· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A New Understanding
2025· book-chapter· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Web life: The Physics Mill
2016· article· en· Physics World· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The World’s First Climate Model
2023· book-chapter· en· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · stsconsensus · none
0
citations
affunlabeled
The Forecast Factory
2023· book-chapter· en· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · sts+insufficient_payloadconsensus · none
0
citations
fundaboutno affunlabeled
The Manitoba Great Lakes Program
2021· article· en· Mspace (University of Manitoba)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
NASA Climate Time Machine by M. Boeck
Shane Allan
2017· article· en· The Deakin Review of Children s Literature· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Summary
2016· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Libo Wang
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
if add to the 448 millions of human
2013· book-chapter· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
ARTICLE IN PRESS
2015· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Reply on RC2
Lev Tarasov
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
PERMISSION TO USE
2016· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Why Do We Need Theories?
Doris Ash
2022· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Theory in a Cold Climate
Peter C. van Wyck
2014· article· en· TOPIA Canadian Journal of Cultural Studies· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
New Scholars in the New Millennium
Jenéa Tallentire, Kim Snowden, Alisa Harrison, Norma Oshynko
2001· article· en· Thirdspace· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Photographic Credits
William M. Marsh, Martin M. Kaufman
2012· other· en· Physical Geography· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Conclusion
George A. Gonzalez
2016· book-chapter· en· Palgrave Macmillan US eBooks· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About