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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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Icing and De-icing Technologies
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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.

804 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.
804 works in the cohort · of 4,299,418page 2 of 17

Labels cover 1 of 804 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 804 of 804 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.

afffundno abstractunlabeled
Compressive strength of atmospheric ice
Majid Kermani, M. Farzaneh, Robert Gagnon
2007· article· en· Cold Regions Science and Technology· Engineering
machine prediction:candidate · noneconsensus · none
48
citations
fundno affunlabeled
Piezoelectric Deicing System for Rotorcraft
Éric Villeneuve, Derek Harvey, D. G. Zimcik, Roger J. Aubert, Jean Perron
2015· article· en· Journal of the American Helicopter Society· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
affaboutunlabeled
Safety challenges in harsh environments: Lessons learned
Faisal Khan, Salim Ahmed, Ming Yang, Seyed Javad Hashemi, Susan Caines, Samith Rathnayaka +1 more
2014· article· en· Process Safety Progress· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
FEM analysis of in-flight ice break-up
Shiping Zhang, Oubai El Kerdi, Rooh A. Khurram, Wagdi G. Habashi
2012· article· en· Finite Elements in Analysis and Design· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
fundno affno abstractunlabeled
Ice storm frequencies in a warmer climate
Kelly Klima, M. Granger Morgan
2015· article· en· Climatic Change· Engineering
machine prediction:candidate · noneconsensus · none
41
citations
aboutno affunlabeled
Ice Detection Systems: A Historical Perspective
Darren Jackson, Joshua I. Goldberg
2007· article· en· SAE technical papers on CD-ROM/SAE technical paper series· Engineering
machine prediction:candidate · noneconsensus · none
38
citations
afffundaboutunlabeled
First Results from the Alliance Icing Research Study II
George A. Isaac, J. Kirk Ayers, Monika Bailey, Luc Bissonnette, Ben Bernstein, Stewart G. Cober +9 more
2005· article· en· 43rd AIAA Aerospace Sciences Meeting and Exhibit· Engineering
machine prediction:candidate · noneconsensus · none
31
citations

How this was built: Screen · Findings · About