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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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Machine Learning and Algorithms
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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.

587 results · 1 filter active ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
587 works in the cohort · of 4,299,418page 1 of 12

Labels cover 1 of 587 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 587 of 587 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Deep Bayesian Active Learning with Image Data
2017· article· en· Oxford University Research Archive (ORA) (University of Oxford)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_scienceconsensus · open_science
435
citations
affunlabeled
XTRACT
2000· article· en· ACM SIGMOD Record· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
202
citations
affunlabeled
Artificial Intelligence
2017· book· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
152
citations
affunlabeled
Active Preference Learning with Discrete Choice Data
2007· article· en· Oxford University Research Archive (ORA) (University of Oxford)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_scienceconsensus · none
131
citations
affunlabeled
The set covering machine
2003· article· en· ePrints Soton (University of Southampton)· Computer Science
distilled prediction:candidate · noneconsensus · none
112
citations
affunlabeled
XTRACT
2000· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
102
citations
affunlabeled
Agnostic Online Learning.
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
93
citations
affunlabeled
Mine Classification With Imbalanced Data
2009· article· en· IEEE Geoscience and Remote Sensing Letters· Computer Science
distilled prediction:candidate · noneconsensus · none
89
citations
affno abstractunlabeled
Learnability can be undecidable
2018· article· en· Nature Machine Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
73
citations
affunlabeled
Artificial Intelligence Review
2018· book-chapter· en· Advances in computer and electrical engineering book series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
71
citations
affunlabeled
Learning Algorithms for Active Learning
2017· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
69
citations
afffundno abstractunlabeled
Covering Things with Things
2004· article· en· Discrete & Computational Geometry· Computer Science
distilled prediction:candidate · noneconsensus · none
65
citations
afffundno abstractunlabeled
Learning and Classifying Under Hard Budgets
2005· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
62
citations
afffundno abstractunlabeled
Decision Tree Instability and Active Learning
2007· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
61
citations
affunlabeled
Learning Algorithms for Active Learning
2017· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
53
citations
affunlabeled
Active model selection
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
52
citations
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