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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.

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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 6 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. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Flexible Dirichlet Mixture Model for Multi-modal data Clustering
Seung-Hyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila
2025· article· en· Proceedings of the ... International Florida Artificial Intelligence Research Society Conference· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Clustering DTDs: An interactive two-level approach
Aoying Zhou, Weining Qian, Hailei Qian, Long Zhang, Yuqi Liang, Wen Jin
2002· article· en· Journal of Computer Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Determinantal consensus clustering
Serge Vicente, Alejandro Murua
2022· article· en· Advances in Data Analysis and Classification· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Unified Embedding and Clustering
Mebarka Allaoui, Mohammed Lamine Kherfi, Abdelhakim Cheriet, Abdelhamid Bouchachia
2021· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Approximation Schemes for Min-Sum K-Clustering
Ismail Naderi, Mohsen Rezapour, Mohammad R. Salavatipour
2023· preprint· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Clustering II: Topics in Clustering
Ke-Lin Du, M. N. S. Swamy
2019· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Biogeography-based optimization for feature selection
Mandana Gholami, Malek Mouhoub, Samira Sadaoui
2023· article· en· Proceedings of the ... International Florida Artificial Intelligence Research Society Conference· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
New Cluster Validity Index with Fuzzy Functions
Aslı Çelikyılmaz, İ.B. Türkşen
2007· book-chapter· en· Advances in soft computing· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Cluster Description
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
SpatialSort: Supporting Datasets
Eric Lee, Kevin Chern, Michael Nissen, Xuehai Wang, IMAXT Consortium, Alexandre Bouchard‐Côté +2 more
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About