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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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Explainable Artificial Intelligence (XAI)
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.

675 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.
675 works in the cohort · of 4,299,418page 7 of 14

Labels cover 1 of 675 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 675 of 675 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Propositions and Inference
2023· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
Explanations in Artificial Intelligence Decision Making
Norman G. Vinson, Heather Molyneaux, Joel Martin
2019· book-chapter· en· Advances in computational intelligence and robotics book series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
Research Agenda for Basic Explainable AI.
Roman Lukyanenko, Arturo Castellanos, Binny M. Samuel, Monica Chiarini Tremblay, Wolfgang Maaß
2021· article· en· Journal of the Association for Information Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
An evolutionary approach to interpretable learning
Jake Robertson, Ting Hu
2021· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Forecasting Future Behavior: Agents in Board Game Strategy
Nathan Damette, Maxime Szymanski, Yazan Mualla, Igor Tchappi, Amro Najjar, Mehdi Adda
2024· article· en· Procedia Computer Science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
2
citations
affunlabeled
Model AI Assignments 2020
Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hoenig, Jiaoyang Li, Sven Koenig +16 more
2020· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
LLM Explainability
Inès Arous, Khaoula Chehbouni, Ziling Cheng, Bonaventure F. P. Dossou
2025· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
2
citations
affno abstractunlabeled
Futility of a Right to Explanation.
Jarek Gryz, Nima Shahbazi
2020· article· en· EDBT/ICDT Workshops· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affvenueno abstractunlabeled
Artificial Intelligence in Cardiology Research: How to Upskill
Simon Christie, Roger Tam, Zachary Laksman
2023· editorial· en· Canadian Journal of Cardiology· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · research_integrity
2
citations
afffundunlabeled
Interpretable machine learning for precision cognitive aging
Abdoul Jalil Djiberou Mahamadou, Emma A. Rodrigues, Vasily A. Vakorin, Violaine Antoine, Sylvain Moreno
2025· article· en· Frontiers in Computational Neuroscience· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
Explainable Artificial Intelligence
2024· book· en· Communications in computer and information science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+insufficient_payloadconsensus · none
2
citations
affunlabeled
Neural Networks and Deep Learning
2023· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affno abstractunlabeled
Explainable AI for the Operating Theater
Frank Rudzicz, Shalmali Joshi
2020· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
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