{"id":"W28131807","doi":"10.1016/j.acmx.2016.12.004","title":"Optimal Strategies for Ruin Probabilities and Expected Gains","year":2007,"lang":"en","type":"article","venue":"Archivos de cardiología de México","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ruin theory; Limit (mathematics); Credibility; Credibility theory; Econometrics; Deductible; Mathematics; Value (mathematics); Measure (data warehouse); Renewal theory; Economics; Actuarial science; Mathematical economics; Random variable; Risk model; Statistics; 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":[0.008444281,0.001718213,0.002527999,0.002004588,0.0006515638,0.00295039,0.002601203,0.003061851,0.007697228],"category_scores_gemma":[0.0341063,0.001069957,0.0008704611,0.0008866139,0.00149252,0.004334609,0.002117197,0.003112313,0.0008191956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119765,"about_ca_system_score_gemma":0.002011322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119906,"about_ca_topic_score_gemma":0.001954981,"domain_scores_codex":[0.9969475,0.001821591,0.0001173353,0.0003810202,0.000260051,0.0004726399],"domain_scores_gemma":[0.9711267,0.02608082,0.001062569,0.0005634945,0.000579545,0.0005869793],"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":[0.0007244243,0.0002579996,0.002817682,0.0002076575,0.0001696595,0.000184217,0.0002842541,0.8016976,0.000642345,0.1300606,0.003803116,0.05915034],"study_design_scores_gemma":[0.0001018613,0.0001511651,0.0004481956,0.00007755297,0.00005163137,0.00006855993,0.00009725011,0.862242,0.0003245141,0.1353637,0.00104332,0.00003041284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1381561,0.001764399,0.8375889,0.004187161,0.0001346053,0.0006210245,0.0005339885,0.0005594578,0.01645429],"genre_scores_gemma":[0.9140137,0.001182475,0.07505629,0.0004059449,0.0001369615,0.0007580225,0.0002455088,0.0001190951,0.008081893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008444281,"threshold_uncertainty_score":0.04465812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331131608483145,"score_gpt":0.3956543841146241,"score_spread":0.2625412232663095,"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."}}