{"id":"W2336596092","doi":"10.7202/1091628ar","title":"Quantification du risque systématiquede mortalité pour un régime de rentesen cours de service","year":2006,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005143109,0.0005818976,0.0006021752,0.000295241,0.001040152,0.000559053,0.0007947063,0.0005370586,0.0002190895],"category_scores_gemma":[0.000350013,0.0006543078,0.0003294558,0.001640115,0.0009546349,0.001422102,0.00008087844,0.0005215015,0.0002697824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056331,"about_ca_system_score_gemma":0.0003746872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1130233,"about_ca_topic_score_gemma":0.05122372,"domain_scores_codex":[0.9925853,0.003287269,0.00104832,0.0008473563,0.00101474,0.001217017],"domain_scores_gemma":[0.9968351,0.0006470709,0.0007805516,0.0006347421,0.0008361273,0.0002664144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007760764,0.001169542,0.667483,0.001086803,0.0004552665,0.00009401819,0.00779603,0.06426336,0.0006765249,0.2141993,0.0240697,0.0186288],"study_design_scores_gemma":[0.0006563825,0.00008334262,0.8496083,0.0009609763,0.000518474,0.00003164336,0.003802967,0.04109399,0.00225702,0.07552027,0.02447069,0.0009959455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8524349,0.01025275,0.01647101,0.06228663,0.001398582,0.001021022,0.0001856745,0.0006560113,0.05529342],"genre_scores_gemma":[0.9764433,0.0113348,0.007147233,0.0007429765,0.0009354242,0.0002202965,0.0001344364,0.00008181637,0.002959711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821252,"threshold_uncertainty_score":0.9995908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897866810256904,"score_gpt":0.3018991714907718,"score_spread":0.2729205033882028,"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."}}