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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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Intelligent Tutoring Systems and Adaptive Learning
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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.

789 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.
789 works in the cohort · of 4,299,418page 15 of 16

Labels cover 1 of 789 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 789 of 789 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
An Arabic-Based Tutorial System for Children with Special Needs
Moutaz Saleh, Jihad Mohamad Alja’am, Ali Jaoua, Abdulmotaleb El-Saddik
2012· book-chapter· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Modeling for Learning
Josianne Basque, Béatrice Pudelko
2011· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
AI Virtual Assistant for Students (Voice + NLP + Knowledge Graph)
Dr. Anmol Mathai, Priyanka C, Prajwal S R, Prajwal B, Vikas Gowda B R
2025· article· INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
kaist-ina/ns2-flexpass: Initial Release
2023· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
OA in India
Peter Suber
2006· preprint· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
An Exploratory Study of Learners’ Brain States
Ramla Ghali, Claude Frasson
2014· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Guides and Tellers: A Review of Tutoring Behaviours
Przemyslaw Pawluk, Judi McCuaig
2025· book-chapter· en· Lecture notes in networks and systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Workshop on Advancements in AI-Supported Exploratory Learning (AI4EL)
Manolis Mavrikis, Sébastien Lallé, Roger Azevedo, Gautam Biswas, Jade Maï Cock, Cristina Conati +6 more
2025· book-chapter· en· Communications in computer and information science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

How this was built: Screen · Findings · About