{"id":"W4388517820","doi":"10.1109/fuzz52849.2023.10309720","title":"Incremental Cluster Validity Index for Predicting Early Signs of Change in Data Streams","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Data stream mining; Cluster analysis; Outlier; Data mining; Data stream; Index (typography); Change detection; STREAMS; Cluster (spacecraft); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00101412,0.0001003849,0.0001548106,0.0002296251,0.0000556686,0.00005632612,0.001657213,0.00005238663,0.000007918776],"category_scores_gemma":[0.0001650827,0.00009511848,0.00002554693,0.0007564669,0.00003659576,0.001090947,0.003125362,0.0001285931,0.00001177818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005698672,"about_ca_system_score_gemma":0.00004080851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008563499,"about_ca_topic_score_gemma":0.0003998638,"domain_scores_codex":[0.998376,0.00006282596,0.0002595558,0.0004704019,0.0004151821,0.0004160613],"domain_scores_gemma":[0.9985549,0.0003476388,0.0000637721,0.0009043014,0.00006091102,0.00006844406],"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":[0.0001546083,0.0004289313,0.3213568,0.0005263714,0.00008230709,0.00006130446,0.008090971,0.002719907,0.007323026,0.001354608,0.001924455,0.6559768],"study_design_scores_gemma":[0.0006854208,0.0001715099,0.02707445,0.0000347411,0.000001235053,0.000001545717,0.0001069393,0.9695589,0.001748902,0.0003951293,0.0001120924,0.0001091455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3296014,0.000006762185,0.6685381,0.0004725899,0.0001831961,0.0007310947,0.00009523696,0.0002089421,0.0001627209],"genre_scores_gemma":[0.9650652,0.000006506185,0.03445958,0.0000485192,0.00009916072,0.00009280033,0.00003721843,0.00001363605,0.0001773291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.966839,"threshold_uncertainty_score":0.389554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3202045578532634,"score_gpt":0.4126508453781036,"score_spread":0.09244628752484019,"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."}}