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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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Intelligent Tutoring Systems and Adaptive Learning
Retraction
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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.

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 16 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.

affunlabeled
How to Use Retrieval-Enhanced Learning
Timothy Frewin, Ian Scott, Kevin W. Eva
2025· review· en· Academic Medicine· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
0
citations
affunlabeled
Tracking Students' Thinking in Solving Complex Process
Irene Cheng, Nathaniel Rossol, Randy Goebel
2010· book-chapter· en· WORLD SCIENTIFIC eBooks· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affvenueunlabeled
LibWizard (Product Review)
Lukas Miller
2020· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Computer Science
distilled prediction:candidate · metaresearch+scholarly_communicationconsensus · none
0
citations
affunlabeled
Explicit Reflection in Prolog-Tutor
Joséphine Tchétagni, Roger Nkambou, Jacqueline Bourdeau
2007· preprint· en· R-libre (Université Téluq)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Foundations of Social Modeling
Ben Kei Daniel
2009· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fifth Workshop on Culturally-Aware Tutoring Systems (CATS2014)
Emmanuel Blanchard, Isabela Gasparini, Amy Ogan, Ma. Mercedes T. Rodrigo
2014· other· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Second Workshop on Culturally-Aware Tutoring Systems (CATS2009)
Emmanuel Blanchard, H. Chad Lane, Danièle Allard
2009· other· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affunlabeled
Sixth Workshop on Culturally-Aware Tutoring Systems (CATS2015)
Ma. Mercedes T. Rodrigo, Emmanuel Blanchard, Amy Ogan, Isabela Gasparini
2015· other· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Third workshop on Culturally-Aware Tutoring Systems (CATS2010)
Emmanuel Blanchard, W. Lewis Johnson, Amy Ogan, Danièle Allard
2010· other· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
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