{"id":"W3200858256","doi":"10.1002/sta4.421","title":"Parsimonious mixture‐of‐experts based on mean mixture of multivariate normal distributions","year":2021,"lang":"en","type":"article","venue":"Stat","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Cluster analysis; Multivariate normal distribution; Expectation–maximization algorithm; Mixture model; Data set; Artificial intelligence; Mathematics; Computer science; Robust regression; Statistics; Machine learning; Regression; Maximum likelihood","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":[0.009436196,0.001541363,0.002891632,0.002279673,0.0008978141,0.002193198,0.004492074,0.003027474,0.004106849],"category_scores_gemma":[0.02513577,0.001613037,0.002471488,0.00210828,0.002869665,0.004123843,0.003057151,0.004219397,0.001599898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699511,"about_ca_system_score_gemma":0.001501582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004929439,"about_ca_topic_score_gemma":0.0053934,"domain_scores_codex":[0.9946964,0.002957306,0.0001727522,0.000976785,0.0008873945,0.000309272],"domain_scores_gemma":[0.9864238,0.0105333,0.0007969047,0.0008040225,0.001114497,0.0003274838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002108124,0.00006789043,0.001500318,0.0001895604,0.0001790014,0.0001780847,0.0004316559,0.6666175,0.001343272,0.2596586,0.003062569,0.06656083],"study_design_scores_gemma":[0.00001303378,0.00002138595,0.0001917656,0.00001924522,0.00001565757,0.00004416459,0.00001401233,0.9334519,0.0002601241,0.06503711,0.0009066041,0.00002507334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002850126,0.0001736265,0.9961236,0.0001302398,0.00001530972,0.00002780504,0.00004463074,0.00009591216,0.0005386705],"genre_scores_gemma":[0.2816001,0.001159484,0.7062041,0.0004509095,0.0002291789,0.0006170171,0.0007024649,0.000292433,0.008744389],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009436196,"threshold_uncertainty_score":0.04990393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420866795104854,"score_gpt":0.2737574186497133,"score_spread":0.2595487506986647,"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."}}