{"id":"W4386941243","doi":"10.7202/1091878ar","title":"L’impact de la sinistralité passée sur la sinistralité future (2) : une modélisation des classes de risques","year":2011,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"HEC Montréal","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003029135,0.0009273448,0.001228656,0.0008896671,0.0008308819,0.004279082,0.002254323,0.003723542,0.01558936],"category_scores_gemma":[0.01067156,0.0007935537,0.002729823,0.0009466016,0.001393989,0.003836788,0.002093403,0.004147642,0.001246342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003491153,"about_ca_system_score_gemma":0.003561681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05517431,"about_ca_topic_score_gemma":0.02574754,"domain_scores_codex":[0.9988214,0.0004480239,0.00004966102,0.0001973764,0.0001979729,0.0002855097],"domain_scores_gemma":[0.9946327,0.003045784,0.0008070269,0.0003646296,0.0006851618,0.0004646713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001489749,0.00007919199,0.007560597,0.00008798316,0.0001123873,0.0001479169,0.0002228909,0.8696677,0.00031106,0.110293,0.003125189,0.008243138],"study_design_scores_gemma":[0.0001083642,0.0001832121,0.007381628,0.0001016896,0.0001706212,0.0001442112,0.0002016787,0.9070836,0.0004432399,0.07250198,0.0115701,0.0001097372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6329592,0.007036505,0.2325579,0.01527452,0.001040231,0.0002433193,0.006086464,0.0004935712,0.1043084],"genre_scores_gemma":[0.9570992,0.002046952,0.007845951,0.0002287804,0.0001619972,0.0001565948,0.0009480153,0.000148057,0.03136436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05517431,"threshold_uncertainty_score":0.1097063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06179296203955696,"score_gpt":0.2936263542049259,"score_spread":0.2318333921653689,"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."}}