{"id":"W4408924401","doi":"10.3390/jrfm18040177","title":"Finite Mixture at Quantiles and Expectiles","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile; Econometrics; Environmental science; Computer science; Mathematics","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":[0.01554312,0.001230681,0.002193944,0.003260406,0.0008283893,0.00271397,0.003633367,0.002035143,0.005524678],"category_scores_gemma":[0.05441421,0.001000892,0.003111779,0.002389133,0.001905732,0.003962445,0.002202415,0.003454246,0.001846712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139454,"about_ca_system_score_gemma":0.001271225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006892718,"about_ca_topic_score_gemma":0.005978746,"domain_scores_codex":[0.9945043,0.003514537,0.0001898398,0.0008466949,0.0006815674,0.0002631323],"domain_scores_gemma":[0.9703725,0.02285387,0.001657648,0.003153221,0.001587335,0.0003755078],"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":[0.0004493665,0.0001836797,0.01586479,0.0002389617,0.0003877563,0.0001884983,0.0005236645,0.5558288,0.001864839,0.2389207,0.002813604,0.1827352],"study_design_scores_gemma":[0.00001908946,0.00004346619,0.001944113,0.00004913125,0.00004301293,0.00006069173,0.00004896487,0.9308239,0.000806594,0.06473102,0.001387559,0.00004249089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008025818,0.000166267,0.9907638,0.0000932644,0.00002062291,0.00004477602,0.00009074234,0.0003934521,0.0004012442],"genre_scores_gemma":[0.3162678,0.0006413101,0.6752985,0.0002133114,0.0001543845,0.0005299868,0.001399254,0.0003928893,0.005102563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01554312,"threshold_uncertainty_score":0.08220083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006399639355968047,"score_gpt":0.236444589910396,"score_spread":0.2300449505544279,"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."}}