{"id":"W3135164180","doi":"10.2139/ssrn.3117055","title":"On a Multiplicative Multivariate Gamma Distribution With Applications in Insurance","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Multivariate statistics; Multiplicative function; Gamma distribution; Mathematics; Econometrics; Distribution (mathematics); Statistics; Generalized gamma distribution; Actuarial science; Economics; 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":[0.004042657,0.000146081,0.0002078404,0.0001399284,0.0003738155,0.00009615928,0.0006300725,0.00007643222,0.00001710356],"category_scores_gemma":[0.0006632669,0.00008767741,0.00006714119,0.000919842,0.0002418604,0.0003139507,0.00004064669,0.001159136,0.0001684823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340417,"about_ca_system_score_gemma":0.0009274365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009449491,"about_ca_topic_score_gemma":0.002964842,"domain_scores_codex":[0.9970129,0.0002407243,0.0004553448,0.0004344193,0.0006573284,0.001199342],"domain_scores_gemma":[0.9982447,0.0005241614,0.0002874231,0.0004419746,0.0004130251,0.00008870448],"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":[0.0006600909,0.0004664065,0.03218651,0.000001309013,0.00004074325,0.000001369481,0.000943329,0.0009520386,0.0002759859,0.8911008,0.00005441733,0.07331698],"study_design_scores_gemma":[0.0008961519,0.0005208479,0.06178385,0.0000176795,0.000004194166,0.00004186361,0.0006063242,0.002110222,0.0002581253,0.9324294,0.001192126,0.0001392612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5277629,0.000104073,0.4707985,0.000586055,0.0000308855,0.0002780431,0.00002120336,0.00001659114,0.0004018048],"genre_scores_gemma":[0.9990208,0.0001037073,0.0003422119,0.00004939894,0.0001059297,0.00004789568,0.000005400444,0.000008516809,0.0003161135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.471258,"threshold_uncertainty_score":0.5035933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346846260714286,"score_gpt":0.3436676522245908,"score_spread":0.310199189617448,"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."}}