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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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Recommender Systems and Techniques
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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
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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.

849 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.
849 works in the cohort · of 4,299,418page 13 of 17

Labels cover 1 of 849 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 849 of 849 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Tagging: Behaviour and motivations
Vanesa Mirzaee, Lee Iverson
2009· article· en· Proceedings of the American Society for Information Science and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
REHG: A Recommender Engine Based on Heterogeneous Graph
Xiaoyang Xin, Zesheng Cheng, Tengfei Wang, Ruixuan Zhao, Chong Peng, Jianbo Li
2024· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Mining Social Media for Knowledge Discovery
Neil Y. Yen, Uyen Trang Nguyen, Jong Hyuk Park
2015· article· en· The Computer Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Probabilistic PCGML Approaches
Matthew Guzdial, Sam Snodgrass, Adam Summerville
2025· book-chapter· en· Synthesis lectures on games and computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Post-hoc Explanation for Twitter List Recommendation
Havva Alizadeh Noughabi, Behshid Behkamal, Fattane Zarrinkalam, Mohsen Kahani
2023· preprint· en· Research Square· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A New Adaptive Indexing for Real-Time Web Search
Falah Al-akashi, Diana Inkpen
2022· article· en· International Journal of Intelligent Information Technologies· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Thematic issue on data management for graphs
Sihem Amer-Yahia, Lei Chen, Renée J. Miller
2019· article· en· The VLDB Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Balancing Embedding Spectrum for Recommendation
Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine
2025· article· en· ACM Transactions on Recommender Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Microblog
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About