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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
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 10 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
DeepPrecip Training Data
Fraser King
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · open_science+insufficient_payload
1
citations
fundno affunlabeled
Inferring learning rules during de novo task learning
Victor Geadah, Jonathan W. Pillow
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrityconsensus · none
1
citations
afffundunlabeled
An LLM-Guided Tutoring System for Social Skills Training
Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor +1 more
2025· preprint· en· ArXiv.org· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
fundno affunlabeled
Impact des émotions sur les performances
Ramla Ghali
2010· dissertation· fr· Papyrus : Institutional Repository (Université de Montréal)· Computer Science
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
1
citations
affno abstractunlabeled
Interacting with Inspectable Bayesian Student Models
Diego Zapata‐Rivera, Jim Greer
2004· article· en· International Journal of Artificial Intelligence in Education· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Unpacking P-Hacking and Publication Bias
Abel Brodeur, Scott Carrell, David Figlio, Lester Lusher
2023· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
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