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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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Advanced Clustering Algorithms Research
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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.

421 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.
421 works in the cohort · of 4,299,418page 4 of 9

Labels cover 0 of 421 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 421 of 421 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Clustering web queries
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Weighted Clustering
2021· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Density-based clustering with constraints
2019· article· en· Computer Science and Information Systems· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
6
citations
affunlabeled
A General Hybrid Clustering Technique
2018· preprint· en· Journal of Computational and Graphical Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Kernel K-Mace Clustering
2018· article· en· 2018 52nd Asilomar Conference on Signals, Systems, and Computers· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
Ensemble clustering: A practical tutorial
2024· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · none
5
citations
affunlabeled
Clustering Oligarchies
2013· article· en· CaltechAUTHORS (California Institute of Technology)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affno abstractunlabeled
Categorical Data Clustering
2016· book-chapter· en· Encyclopedia of Machine Learning and Data Mining· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
5
citations
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