{"id":"W4401160419","doi":"10.1080/07362994.2024.2372605","title":"Mixtures of multivariate Gaussians","year":2024,"lang":"en","type":"article","venue":"Stochastic Analysis and Applications","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Multivariate statistics; Econometrics; Mixture model; Statistics; Applied mathematics","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":[0.0001659003,0.00007895281,0.0001732641,0.00021648,0.00006803389,0.00007505257,0.0002080664,0.00003502757,0.00001081082],"category_scores_gemma":[0.000006925529,0.00006075771,0.0001136022,0.001218864,0.00004895645,0.00007427231,0.0000604461,0.00006402953,0.000003973379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005064007,"about_ca_system_score_gemma":0.00002465654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003699946,"about_ca_topic_score_gemma":0.000005788259,"domain_scores_codex":[0.9993164,0.00002362472,0.0001696595,0.0002950436,0.00009493533,0.0001003685],"domain_scores_gemma":[0.9994279,0.0001177314,0.00003790568,0.0003216678,0.00003409598,0.0000606961],"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":[3.27706e-7,0.00001540686,0.000004077082,0.00001269289,0.0002050863,4.147559e-7,0.0001759171,0.0002022753,0.001187921,0.8908139,0.00003032076,0.1073517],"study_design_scores_gemma":[0.00006802713,0.00001720693,0.0006562042,0.00001938882,0.0007366722,0.000004513528,0.00001087664,0.7713748,0.0004069606,0.2242798,0.00226398,0.0001615752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00006572387,0.001069162,0.9973232,0.0004171364,0.00001928186,0.0001100209,0.00001362117,0.00006098402,0.0009208507],"genre_scores_gemma":[0.7310779,0.00001612503,0.268522,0.00003494825,0.00003747408,0.00006403578,0.000005017811,0.00000381872,0.0002386447],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7711725,"threshold_uncertainty_score":0.2477628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009958612752616764,"score_gpt":0.2882501070217248,"score_spread":0.278291494269108,"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."}}