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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
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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.

2,769 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.
2,769 works in the cohort · of 4,299,418page 36 of 56

Labels cover 6 of 2,769 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 2,769 of 2,769 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A Topic Model Scoring Approach for Personalized QA Systems
Hamidreza Chinaei, Luc Lamontagne, François Laviolette, Richard Khoury
2014· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
An Online MCQ sub-system for CrsMgr
Maria G. Ratcheva, Reethu Navale, Bipin C. Desai
2022· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Answer typing for information retrieval
Christopher Pinchak, Davood Rafiei, Dekang Lin
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Retrieval-Augmented Generation
C.-H Liu
2025· preprint· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
afffundunlabeled
Attribute Controlled Dialogue Prompting
Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
2023· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
TREC 2020 Notebook: CAsT Track.
Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin
2020· article· en· Text REtrieval Conference· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
AI education matters
Lisa Zhang, Pouria Fewzee, Charbel Feghali
2021· article· en· AI Matters· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Few-shot Adaptation Works with UnpredicTable Data
Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez
2023· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
The 2016 TAC KBP BeSt Evaluation.
Owen Rambow, Daniel J. Bauer, Axinia Radeva, Meenakshi Alagesan, Gregorios Katsios, Tomek Strzalkowski +6 more
2016· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Predicting Tags for Learner Questions on Stack Overflow
Segun O. Olatinwo, Carrie Demmans Epp
2024· article· en· International Journal of Artificial Intelligence in Education· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
MTLV
Fatemeh Rahimi, Evangelos Milios, Stan Matwin
2021· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About