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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
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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 2 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
Mining outlying aspects on numeric data
2015· article· en· Data Mining and Knowledge Discovery· Computer Science
distilled prediction:candidate · noneconsensus · none
70
citations
affunlabeled
Resilient Identity Crime Detection
2011· article· en· IEEE Transactions on Knowledge and Data Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
68
citations
afffundunlabeled
Detecting Semantic Anomalies
2020· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
55
citations
fundno affno abstractunlabeled
Adversarial network compression
2019· book-chapter· en· IRIS Research product catalog (Sapienza University of Rome)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
52
citations
affunlabeled
Measuring Disentanglement: A Review of Metrics
2022· review· en· IEEE Transactions on Neural Networks and Learning Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
46
citations
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How this was built: Screen · Findings · About