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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.

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.

168 results · 1 filter active ·
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20002021
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
168 works in the cohort · of 4,299,418page 2 of 4

Labels cover 1 of 168 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 168 of 168 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Subjective mapping
Michael Bowling, Dana Wilkinson, Ali Ghodsi
2006· article· en· National Conference on Artificial Intelligence· Engineering
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Simple Continual Learning Strategies for Safer Classifers.
Ashish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards
2020· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Group Fairness for Indivisible Goods Allocation
Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan
2019· article· en· National Conference on Artificial Intelligence· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affno abstractunlabeled
Exploring EPCG in The Witness.
Nathan Sturtevant
2019· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
A New Look at Ontology Correctness
Bahar Aameri, Michael Grüninger
2015· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
aboutno affunlabeled
A Critical Step in eGovernment Evolution.
Tadiou Kone Mamadou, Fadhel B. Jaâfar, Amar M. Saïd
2006· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Can we work around numerical methods? an insight
Sandeep Chandana, René V. Mayorga
2006· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Exploiting Environmental Sounds for Activity Recognition in Smart Homes.
Sébastien Tremblay, Dany Fortin-Simard, Erika Blackburn-Verreault, Sébastien Gaboury, Bruno Bouchard, Abdenour Bouzouane
2015· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Dynamic Goal Recognition Using Windowed Action Sequences.
David Ménager, Dongkyu Choi, Michael W. Floyd, Christine Task, David W. Aha
2017· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Temporally Extended Metrics for Markov Decision Processes.
Philip Amortila, Marc G. Bellemare, Prakash Panangaden, Doina Precup
2019· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · none
2
citations
affunlabeled
Analogical path planning
Saul Simhon, Gregory Dudek
2004· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
An Activity-Based Ontology for Dates.
Michael Grüninger, Megan Katsumi
2015· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Activity Prediction Based on Tme Series Forcasting
Mohamed Tarik Moutacalli, Kévin Bouchard, Abdenour Bouzouane, Bruno Bouchard
2014· article· en· National Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
General Model of Human Motivation and Goal Ranking
Bart Gajderowicz, Mark S. Fox, Michael Grüninger
2017· article· en· National Conference on Artificial Intelligence· Decision Sciences
distilled prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About