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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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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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 139 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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
Advances in Cryptology – CRYPTO 2025
2025· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Treating Phobias with Computer Games
M. Brandon Haworth, Melanie Baljko, Petros Faloutsos
2012· book-chapter· en· Lecture notes in computer science· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Investigating Citation Linkage with Machine Learning
Hospice Houngbo, Robert E. Mercer
2017· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
3
citations
affno abstractunlabeled
An Empirical Analysis of Risk Aversion in Malware Infections
Jude Jacob Nsiempba, Fanny Lalonde Lévesque, Nathalie de Marcellis-Warin, José M. Fernandez
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Diffusion-Based Adversarial Purification for Intrusion Detection
Mohamed Amine Merzouk, Erwan Beurier, Reda Yaich, Nora Cuppens, Frédéric Cuppens, Foutse Khomh
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Classification of Textual Genres Using Discourse Information
Elnaz Davoodi, Leila Kosseim, Félix-Hervé Bachand, Majid Laali, Emmanuel Argollo
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
BDI for Autonomous Mobile Robot Navigation
Patrick Gavigan, Babak Esfandiari
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
ZenTrader, an Emotion-Reactive Interface
Thomas Dang, Steven Kun Liu, Sidney Fels
2011· book-chapter· en· Lecture notes in computer science· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Software Architecture for Multi-agent Systems
V. S. Alagar, Mao Zheng
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Generating Phishing Emails Using Graph Database
Nasim Maleki, Ali A. Ghorbani
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Vectorizing Building Blueprints
Weilian Song, Mahsa Maleki Abyaneh, Mohammad Amin Shabani, Yasutaka Furukawa
2023· book-chapter· en· Lecture notes in computer science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Fast Rendezvous with Advice
Avery Miller, Andrzej Pelc
2015· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Visualizing Mobile Agent Executions
Yi Wang, Thomas Kunz
2000· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Curriculum Modeling for Adaptive Learning
Fuhua Lin, Raymond Morland
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About