{"id":"W4232614615","doi":"10.2139/ssrn.3195043","title":"A Note on Univariate and Multivariate Mixed Exponential Distributions","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Univariate; Multivariate statistics; Natural exponential family; Statistics; Mathematics; Exponential function; Exponential family; Econometrics; Multivariate analysis; Mixed model; Applied mathematics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006406935,0.0001389925,0.0001457983,0.0000620064,0.0005627376,0.00006634542,0.0001311065,0.00006920259,0.0001333524],"category_scores_gemma":[0.0007452166,0.0001216951,0.00005543689,0.0001829777,0.0001522668,0.00008369982,0.00003425759,0.0006843564,0.0001323586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670687,"about_ca_system_score_gemma":0.0003905173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001797719,"about_ca_topic_score_gemma":0.00009017191,"domain_scores_codex":[0.9982594,0.00009289705,0.000292657,0.0001877814,0.0001949264,0.0009723661],"domain_scores_gemma":[0.9991056,0.0002763005,0.0001456566,0.0001704869,0.0001672193,0.0001346928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003751432,0.0001146803,0.000009532605,0.000002480363,0.00003736456,7.077493e-7,0.00004538768,8.574515e-7,0.0008203593,0.9930262,0.0003657905,0.005539122],"study_design_scores_gemma":[0.0008626321,0.0002074307,0.002815578,0.0000179296,0.00005884202,0.000111028,0.0001192107,0.002151352,0.0004609238,0.9913445,0.001700074,0.0001505394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04933842,0.00001748985,0.9476995,0.001604321,0.0001207211,0.0001383043,0.0001240323,0.00006528521,0.0008919275],"genre_scores_gemma":[0.9954014,0.00005533985,0.003788813,0.00005775973,0.0002331593,0.00001315413,0.00003709675,0.00001525949,0.0003979941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.946063,"threshold_uncertainty_score":0.4962581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070112773846222,"score_gpt":0.3450852153823691,"score_spread":0.3143840876439069,"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."}}