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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
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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 6 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
Overview of the TREC 2016 Contextual Suggestion Track
Seyyed Hadi Hashemi, Charles L. A. Clarke, Jaap Kamps, Julia Kiseleva, Ellen M. Voorhees
2017· article· en· Data Archiving and Networked Services (DANS)· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
A Serendipity-Oriented Personalized Trip Recommendation Model
Rizwan Abbas, Ghassan Muslim Hassan, Muna Al‐Razgan, Mingwei Zhang, Gehad Abdullah Amran, Ali A. AL-Bakhrani +3 more
2022· article· en· Electronics· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Towards context-aware media recommendation based on social tagging
Mohammed F. Alhamid, Majdi Rawashdeh, M. Anwar Hossain, Abdulhameed Alelaiwi, Abdulmotaleb El Saddik
2015· article· en· Journal of Intelligent Information Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Cognitive-based knowledge learning framework for recommendation
Xue Chen, Qichao Liang, Yuanzhu Chen, Peng Wang, Hang Yu, Xiangfeng Luo
2024· article· en· Knowledge-Based Systems· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
12
citations
affunlabeled
Better control on recommender systems
Esma Aı̈meur, Flavien Serge Mani Onana
2006· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Tag-based personalized recommendation in social media services
Majdi Rawashdeh, Mohammed F. Alhamid, Jihad Mohamad Alja’am, Awny Alnusair, Abdulmotaleb El Saddik
2015· article· en· Multimedia Tools and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Exam Question Recommender System
Hicham Hage, Esma Aı̈meur
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Characterizing Web-Based Tutorials
Matthew Lount, Andrea Bunt
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About