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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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Communications in computer and information science
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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.

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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.

653 results · 1 filter active ·
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20072025
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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.
653 works in the cohort · of 4,299,418page 11 of 14

Labels cover 0 of 653 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 653 of 653 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 affno abstractunlabeled
Computing Science, Communication and Security
2023· book· en· Communications in computer and information science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Gradient Acoustic Surfaces
Kiefer Savage, Nicholas Hoban, Brady Peters
2022· book-chapter· en· Communications in computer and information science· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Deep Generative Multi-view Learning
Mahdi Karami
2020· book-chapter· en· Communications in computer and information science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
End-To-End Intelligent Automation Loops
Joerg Beringer, Alexander-John Karran, Constantinos K. Coursaris, Pierre‐Majorique Léger
2023· book-chapter· en· Communications in computer and information science· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Computer-Aided Diagnosis in Uterus Imaging
Ahmed Radman, Abdulsalam Alkholidi, Ibrahim Ahmed Radman, Habib Hamam
2025· book-chapter· en· Communications in computer and information science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Multiuser HAP Architecture Using Symbol Wavelengths
Samiha Lubaba, Brent R. Petersen
2025· book-chapter· en· Communications in computer and information science· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About