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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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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.

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 37 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.

affunlabeled
Embedded Spherical Topic Models for Supervised Learning
Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
2022· article· en· 2022 26th International Conference on Pattern Recognition (ICPR)· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
fundno affunlabeled
Self-Influence Guided Data Reweighting for Language Model Pre-training
Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar
2023· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
2
citations
affvenueunlabeled
Is ChatGPT taking over the language classroom?
Mandy Lau
2024· article· en· Working papers in Applied Linguistics and Linguistics at York· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
fundno affno abstractunlabeled
Lost but Not Only in the Middle
Jan Hutter, David Rau, M. Marx, Jaap Kamps
2025· book-chapter· fr· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · none
1
citations
affunlabeled
Literature Lifts Up Computational Linguistics
David K. Elson, Anna Feldman, Anna Kazantseva, Stan Śzpakowicz
2015· article· en· Linguistic Issues in Language Technology· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
1
citations
affunlabeled
Improving Word Embedding Using Variational Dropout
Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo
2023· article· en· Proceedings of the ... International Florida Artificial Intelligence Research Society Conference· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

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