{"id":"W2087124519","doi":"10.3390/jrfm7040150","title":"Exact Fit of Simple Finite Mixture Models","year":2014,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mixture model; Portfolio; Econometrics; Simple (philosophy); Mixture distribution; Mathematics; Distribution (mathematics); Statistics; Computer science; Economics; Probability density function; Financial economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006268031,0.0008784647,0.001985341,0.001451347,0.0005379695,0.002322366,0.002451858,0.002218383,0.003468547],"category_scores_gemma":[0.0372019,0.001103589,0.001684018,0.00129722,0.001206088,0.003967454,0.001457252,0.002042837,0.0008701149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357161,"about_ca_system_score_gemma":0.0009263875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139479,"about_ca_topic_score_gemma":0.007834081,"domain_scores_codex":[0.9976545,0.0010533,0.0001413907,0.0005816853,0.0003570305,0.0002121077],"domain_scores_gemma":[0.9876051,0.009629879,0.0008008152,0.001002376,0.0007276724,0.000234095],"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":[0.00008854416,0.00003567127,0.002847382,0.00008262609,0.00009295751,0.0001218971,0.0001610874,0.9156141,0.0005485987,0.05944178,0.001136057,0.0198293],"study_design_scores_gemma":[0.000006046233,0.000005085052,0.0005096034,0.00001069064,0.000006359069,0.00002046196,0.00001279729,0.9693534,0.00008688464,0.02976177,0.0002114399,0.00001537525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06421107,0.000359103,0.9307858,0.000597888,0.00008112343,0.00006118661,0.0003741755,0.0006222284,0.002907368],"genre_scores_gemma":[0.861532,0.0003875036,0.1304425,0.0002438753,0.0001052688,0.0002163789,0.001337611,0.0002598876,0.00547499],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0139479,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783499696706587,"score_gpt":0.210273137443176,"score_spread":0.1924381404761101,"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."}}