{"id":"W2016069164","doi":"10.2139/ssrn.1744193","title":"Insurance Risk Models with Parisian Implementation Delays","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université du Québec à Montréal; University of Waterloo","funders":"","keywords":"Business; Actuarial science; Risk analysis (engineering); Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003627589,0.002219173,0.003072107,0.001583161,0.001144104,0.005529084,0.003433782,0.006277305,0.0138524],"category_scores_gemma":[0.01380697,0.001630476,0.001758808,0.002021389,0.003450063,0.005671365,0.002565097,0.005934396,0.001215928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005269466,"about_ca_system_score_gemma":0.003024999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02438136,"about_ca_topic_score_gemma":0.00856556,"domain_scores_codex":[0.9983039,0.0004926609,0.0000692706,0.0002773032,0.0001962571,0.0006605874],"domain_scores_gemma":[0.9927921,0.004673362,0.001026272,0.0002889879,0.000636701,0.0005826246],"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":[0.0001673907,0.0000679291,0.0006994981,0.00006493167,0.00005894177,0.0003849974,0.0001599706,0.5774781,0.0001788591,0.4141393,0.002696178,0.003903966],"study_design_scores_gemma":[0.0001519558,0.00009749177,0.000324017,0.00002477658,0.00008059238,0.0001134331,0.0001392488,0.8226765,0.0001306802,0.1737382,0.002471937,0.00005127187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3671449,0.003340197,0.5104772,0.01939895,0.0008333628,0.0002058065,0.001654276,0.0008388666,0.0961064],"genre_scores_gemma":[0.9201308,0.001262025,0.007407255,0.0003613247,0.0002245672,0.0001389496,0.0002415353,0.00009156531,0.07014205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02438136,"threshold_uncertainty_score":0.0484789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08301809637883589,"score_gpt":0.3370830791117687,"score_spread":0.2540649827329328,"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."}}