{"id":"W4389449694","doi":"10.1007/978-3-031-09034-9_2","title":"Model Based Clustering of Functional Data with Mild Outliers","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in classification, data analysis, and knowledge organization","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Outlier; Cluster analysis; Computer science; Multivariate statistics; Data mining; Functional data analysis; CURE data clustering algorithm; Pattern recognition (psychology); Artificial intelligence; Correlation clustering; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004484807,0.001124271,0.001957653,0.003021525,0.0008525821,0.002084901,0.002644095,0.001679185,0.001508657],"category_scores_gemma":[0.01077752,0.0005829142,0.00156588,0.002937178,0.001920857,0.001655563,0.002896205,0.00175988,0.0006939499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456483,"about_ca_system_score_gemma":0.00140954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003882303,"about_ca_topic_score_gemma":0.003277632,"domain_scores_codex":[0.9970282,0.001119553,0.0001628001,0.0006325829,0.0009237914,0.0001331357],"domain_scores_gemma":[0.9955616,0.001769691,0.0004755731,0.001171142,0.0008999609,0.0001220814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002716212,0.0001477595,0.006024152,0.0003769199,0.000312481,0.0002689264,0.0004193635,0.6194589,0.01752666,0.07476476,0.00439477,0.2760337],"study_design_scores_gemma":[0.000008245825,0.00002452102,0.001135588,0.00001747809,0.00001566319,0.00007384376,0.00003642958,0.9525197,0.002533051,0.04177576,0.001822524,0.00003720939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006057146,0.00007883134,0.9932162,0.00005424901,0.0000138424,0.00002190684,0.0000693329,0.0001771638,0.0003113039],"genre_scores_gemma":[0.2115322,0.0001831416,0.7854372,0.0001365703,0.00006378193,0.0001955709,0.0008765882,0.0001995084,0.001375494],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004484807,"threshold_uncertainty_score":0.02371818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2456912323473152,"score_gpt":0.3617518610310853,"score_spread":0.11606062868377,"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."}}