{"id":"W194034371","doi":"10.1007/s11222-011-9272-x","title":"Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions","year":2011,"lang":"en","type":"article","venue":"Statistics and Computing","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"University of Washington","keywords":"Cluster analysis; Mixture model; Linear discriminant analysis; Covariance; Mathematics; Pattern recognition (psychology); Artificial intelligence; Multivariate statistics; Multivariate normal distribution; Gaussian; Covariance matrix; Principal component analysis; Statistics; Computer science","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":[0.006342602,0.001209881,0.002981822,0.002667365,0.001337143,0.003083217,0.003074604,0.002282704,0.001848069],"category_scores_gemma":[0.02145664,0.0009584534,0.003111199,0.003372058,0.002389402,0.003845517,0.002950204,0.003220402,0.00113431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526995,"about_ca_system_score_gemma":0.001555227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004274549,"about_ca_topic_score_gemma":0.003354006,"domain_scores_codex":[0.9954392,0.002365631,0.0002158412,0.0008106538,0.0009426546,0.0002259324],"domain_scores_gemma":[0.9922553,0.005175787,0.0006539441,0.0008541958,0.0008467986,0.0002139524],"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":[0.0004118911,0.0001927916,0.001853582,0.0003093816,0.0003150137,0.00008495031,0.0004380637,0.4926432,0.003600733,0.2061086,0.005820931,0.2882208],"study_design_scores_gemma":[0.00001218433,0.00001480148,0.0001997676,0.00001150549,0.0000189429,0.00003380504,0.00001481097,0.908217,0.0003997923,0.09049422,0.0005608726,0.00002235012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003248992,0.0002377652,0.9960356,0.0001079371,0.00002093019,0.00001511782,0.00002627007,0.0001242726,0.0001832315],"genre_scores_gemma":[0.1934138,0.001003853,0.8019601,0.0002096496,0.0002531681,0.0003178256,0.0004817635,0.0002588264,0.002101121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006342602,"threshold_uncertainty_score":0.03354329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787592351643025,"score_gpt":0.2987753486290899,"score_spread":0.2508994251126597,"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."}}