{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005485023,0.00008563674,0.0001654217,0.0003517447,0.0002456435,0.00008224849,0.001265327,0.00001569213,0.00001458489],"category_scores_gemma":[0.00005678923,0.00008972069,0.00002499196,0.001626731,0.00006012684,0.0007518104,0.002097455,0.0001677363,0.000002669271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008235084,"about_ca_system_score_gemma":0.00002479426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002429567,"about_ca_topic_score_gemma":0.0003516591,"domain_scores_codex":[0.9984491,0.0001305959,0.0002501829,0.0006516093,0.0003140772,0.0002043887],"domain_scores_gemma":[0.9984227,0.0001243367,0.0001095061,0.001271933,0.00002391619,0.00004754801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000188204,0.00008613971,0.01163345,0.0000209205,0.00006165215,0.00004230277,0.0002330005,0.02283611,0.001232044,0.002685562,0.00003614254,0.9611139],"study_design_scores_gemma":[0.0001464006,0.00002084786,0.01368304,0.000002383693,0.00002080049,0.00001757898,0.0002092212,0.9743686,0.00002815395,0.0005126451,0.01087912,0.0001111869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01108113,0.001344704,0.9864076,0.0005261349,0.00009652943,0.0001037743,0.00005829574,0.0000477075,0.0003340819],"genre_scores_gemma":[0.9338086,0.0006270735,0.06518655,0.00004168615,0.00001583208,0.00005068858,0.0001461176,0.00000566454,0.0001178499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9610026,"threshold_uncertainty_score":0.3658704,"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."}}