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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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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.

affaffiliation
fundfunder
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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 ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
421 works in the cohort · of 4,299,418page 1 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
Density‐based clustering
2011· article· en· Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
810
citations
affno abstractunlabeled
Collaborative fuzzy clustering
2002· article· en· Pattern Recognition Letters· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
282
citations
affno abstractunlabeled
LIMBO: Scalable Clustering of Categorical Data
2004· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
260
citations
affunlabeled
Hierarchical Clustering
2019· article· en· Journal of the ACM· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
207
citations
affunlabeled
Density‐based clustering
2019· article· en· Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
116
citations
affno abstractunlabeled
Relative entropy fuzzy c-means clustering
2013· article· en· Information Sciences· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
113
citations
affunlabeled
Data bubbles
2001· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
79
citations
affno abstractunlabeled
Data Clustering with Partial Supervision
2006· article· en· Data Mining and Knowledge Discovery· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
75
citations
afffundunlabeled
Clustering probability distributions
2010· article· en· Journal of Applied Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
57
citations

How this was built: Screen · Findings · About