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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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Frontiers in artificial intelligence and applications
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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.

231 results · 1 filter active ·
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20082025
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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.
231 works in the cohort · of 4,299,418page 2 of 5

Labels cover 0 of 231 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 231 of 231 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Quantitative Model Checking of Knowledge
Wei Wan
2012· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Agent Abstraction via Forgetting in the Situation Calculus
Kailun Luo, Yongmei Liu, Yves Lespérance, Ziliang Lin
2020· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
FOND Planning for Pure-Past Linear Temporal Logic Goals
Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Gerevini, Enrico Scala
2023· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affunlabeled
Thinking Too Much: Pathology in Pathfinding
Vadim Bulitko
2008· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundunlabeled
PARIS: Planning Algorithms for Reconfiguring Independent Sets
Remo Christen, Salomé Eriksson, Michael Katz, Christian Muise, Alice Petrov, Florian Pommerening +3 more
2023· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
Classification of Dreams Using Machine Learning
Stan Matwin, Amir H. Razavi
2010· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Using abstraction in Two-Player Games
Mehdi Samadi, Jonathan Schaeffer, Majid Samar, Zohreh Azimifar
2008· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affunlabeled
Interdependence among material objects and voids
Torsten Hahmann, Boyan Brodaric
2014· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affunlabeled
On the Measurement of Negotiation Dialogue Games
Omar Marey, Abdeslam En‐Nouaary
2009· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
A Sideways Look at Upper Ontologies
Torsten Hahmann, Megan Katsumi, Carmen Chui
2014· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affunlabeled
Foundational Ontologies for Units of Measure
Bahar Aameri, Carmen Chui, Torsten Hahmann, Yi Ru
2018· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Locally-Minimal Probabilistic Explanations
Yacine Izza, Kuldeep S. Meel, João Marques‐Silva
2024· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
3
citations
affunlabeled
Formal Specification and Analysis of Firewalls
Mohamed Mejri, Kamel Adi, Hamido Fujita
2009· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Necessary and Sufficient Conditions for Actual Root Causes
Shakil M. Khan, Mikhail Soutchanski
2020· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
On Building an Index Advisor for Semantic Web Queries
Lubomir Stanchev, Grant Weddell
2010· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
OASIS: An Active Framework for Set Inversion
Binh T. Nguyen, Manh-Duy Nguyen, Lam Si Tung Ho, Vu C. Dinh
2018· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Open-Set Multivariate Time-Series Anomaly Detection
Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard
2024· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Transfer Learning Can Introduce Bias
Parisa Salmani, Peter R. Lewis
2024· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
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