{"id":"W2035640238","doi":"10.1016/j.jkss.2011.03.004","title":"Discussion: Statistical models and methods for dependence in insurance data","year":2011,"lang":"en","type":"article","venue":"Journal of the Korean Statistical Society","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Mathematics; Econometrics; Statistical model; Statistics; Actuarial science; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005468511,0.0001441286,0.0003446302,0.00003194537,0.0003849096,0.00007608398,0.001025532,0.00009837627,0.00004902958],"category_scores_gemma":[0.001129621,0.00008159634,0.0001255699,0.0002483388,0.0009389299,0.0004894819,0.0003219604,0.0003887625,7.028883e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008326508,"about_ca_system_score_gemma":0.000154433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005765385,"about_ca_topic_score_gemma":0.0006906238,"domain_scores_codex":[0.997414,0.000727311,0.0006034713,0.0002835827,0.000575982,0.0003956395],"domain_scores_gemma":[0.997947,0.0009912609,0.0003192955,0.0003880296,0.0001579575,0.0001964552],"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":[0.0002214429,0.0004189204,0.07089411,0.0001319089,0.0002126313,0.00002384677,0.01830092,0.00004031354,0.00001410359,0.7026395,0.01264567,0.1944566],"study_design_scores_gemma":[0.0008684685,0.0001010317,0.3558519,0.00008920842,0.0001373176,0.000009147675,0.004431669,0.01157397,0.000009568715,0.6204047,0.006275775,0.0002472161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005596556,0.0002482312,0.9899644,0.001115118,0.0005134335,0.000446125,0.0004859561,0.00001148271,0.001618646],"genre_scores_gemma":[0.5152373,0.0004322163,0.4839401,0.0002013503,0.0001106233,0.000006333738,0.000004083631,0.00001155118,0.00005642947],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5096408,"threshold_uncertainty_score":0.3459526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114750190261914,"score_gpt":0.4158700473085132,"score_spread":0.3011198570465992,"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."}}