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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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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.

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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 12 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
Speculative Authorization
Pranab Kini, Konstantin Beznosov
2012· article· en· IEEE Transactions on Parallel and Distributed Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
HCC-Learn Framework for Hybrid Learning in Recommender Systems
Rabaa Alabdulrahman, Herna L. Viktor
2020· book-chapter· en· Communications in computer and information science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affunlabeled
Improving Social Recommender Systems
Ofer Arazy, Nanda Kumar, Bracha Shapira
2008· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Recommender Systems
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
affunlabeled
Guest editorial: Graph learning for computer vision
Qi Wang, Hongkai Yu, Song Wang, Jianzhe Lin
2021· editorial· en· IET Computer Vision· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrityconsensus · none
1
citations
affunlabeled
Boosting tag-based search in social media sites
Majdi Rawashdeh, Mohammed F. Alhamid, M. Anwar Hossain, Abdulmotaleb El Saddik
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
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