{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007830935,0.0002938628,0.0006376372,0.0002467028,0.0003582902,0.0003081091,0.0007749115,0.0002296855,0.0000178719],"category_scores_gemma":[0.004185187,0.0002109898,0.0003438944,0.000291783,0.0008715842,0.0003601544,0.0002712448,0.0003243149,0.00001399148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086768,"about_ca_system_score_gemma":0.0003736827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004781844,"about_ca_topic_score_gemma":0.000105266,"domain_scores_codex":[0.9962967,0.0005890097,0.0007480892,0.0008416115,0.0005228255,0.00100179],"domain_scores_gemma":[0.9934803,0.005054648,0.0001558642,0.000782889,0.000231321,0.0002949821],"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":[0.00330026,0.0005139806,0.2040334,0.0003208014,0.0006616898,0.0002271433,0.06635968,0.127157,0.0419797,0.4265269,0.01022022,0.1186993],"study_design_scores_gemma":[0.000883916,0.0005692178,0.07098343,0.00002565637,0.0000581491,0.0001807105,0.01677426,0.01106003,0.002188593,0.8916612,0.005116567,0.0004983179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6537367,0.0006143386,0.3403029,0.0002889729,0.0001200504,0.0005570857,0.00006099763,0.0001216473,0.004197301],"genre_scores_gemma":[0.9414307,0.0000737423,0.05757132,0.0002399323,0.0002354027,0.0001307795,0.000009990747,0.00001915628,0.0002890044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4651343,"threshold_uncertainty_score":0.8603913,"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."}}