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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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Anomaly Detection Techniques and Applications
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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.

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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.

1,158 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,158 works in the cohort · of 4,299,418page 1 of 24

Labels cover 1 of 1,158 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 1,158 of 1,158 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Learning Deep Architectures for AI
2009· article· en· Foundations and Trends® in Machine Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
6,910
citations
affunlabeled
LOF
2000· article· en· ACM SIGMOD Record· Computer Science
distilled prediction:candidate · noneconsensus · none
5,181
citations
affunlabeled
LOF
2000· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
3,862
citations
affno abstractunlabeled
Introduction to Machine Learning
2019· book-chapter· en· Springer briefs in electrical and computer engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1,620
citations
affunlabeled
On calibration of modern neural networks
2017· article· en· International Conference on Machine Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
1,185
citations
affunlabeled
Deep Sets
2017· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
471
citations
afffundunlabeled
Outlier Detection
2020· review· en· ACM Computing Surveys· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
319
citations
affunlabeled
Deep Sets
2017· article· en· Neural Information Processing Systems· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
318
citations
affunlabeled
K-Means-based isolation forest
2020· article· en· Knowledge-Based Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
172
citations
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How this was built: Screen · Findings · About