{"id":"W3126183644","doi":"10.1007/s11634-022-00514-6","title":"Determinantal consensus clustering","year":2022,"lang":"en","type":"article","venue":"Advances in Data Analysis and Classification","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Cluster analysis; Point process; Single-linkage clustering; Mathematics; Computer science; Kernel (algebra); Similarity (geometry); Consensus clustering; Data mining; Artificial intelligence; Correlation clustering; CURE data clustering algorithm; Combinatorics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003315515,0.0008061324,0.001995974,0.002650865,0.002048289,0.002706718,0.002535805,0.002153284,0.005756711],"category_scores_gemma":[0.0125733,0.0008660825,0.001236802,0.002226648,0.002571058,0.002565794,0.003932743,0.002266012,0.002652831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660636,"about_ca_system_score_gemma":0.001844325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190369,"about_ca_topic_score_gemma":0.002883878,"domain_scores_codex":[0.9961513,0.001358851,0.0001644325,0.001072169,0.00102097,0.0002321437],"domain_scores_gemma":[0.9926735,0.002004514,0.0004127488,0.002033559,0.002433442,0.00044222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002640874,0.0001006267,0.001801766,0.0002755873,0.0002303547,0.0001728358,0.0004868227,0.2231059,0.008048375,0.5463808,0.017673,0.2014598],"study_design_scores_gemma":[0.00001881896,0.00003977936,0.0006082726,0.00001942948,0.00002069033,0.0001106424,0.00008450648,0.819455,0.00255164,0.1700531,0.006997537,0.0000407363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01146197,0.000429882,0.9809026,0.0003303656,0.0001447537,0.00004847888,0.0000787851,0.0004959992,0.00610717],"genre_scores_gemma":[0.6241547,0.0007937188,0.3486748,0.000512854,0.0004031296,0.0002564195,0.001036152,0.0007658947,0.02340237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005756711,"threshold_uncertainty_score":0.01925808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05356536631324153,"score_gpt":0.3602556970197126,"score_spread":0.306690330706471,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}