{"id":"W26135875","doi":"10.1128/jcm.00650-15","title":"Estrategia de reaseguro proporcional óptima desde el punto de vista de la probabilidad de ruina: Un análisis con Mathematica 6","year":2010,"lang":"en","type":"article","venue":"Anales del Instituto de Actuarios Españoles","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Reinsurance; Context (archaeology); Mathematics; Poisson distribution; Poisson process; Humanities; Risk model; Calculus (dental); Point process; Applied mathematics; Philosophy; Statistics; Geography; Medicine; Actuarial science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007700503,0.0006099704,0.0007590039,0.0004365308,0.0007728764,0.001333069,0.002287314,0.0007833288,0.0004356079],"category_scores_gemma":[0.008028534,0.000487429,0.0004331629,0.0007750791,0.001613075,0.001046376,0.0003727985,0.001206808,0.0001863391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005477092,"about_ca_system_score_gemma":0.004981156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154146,"about_ca_topic_score_gemma":0.003832281,"domain_scores_codex":[0.9940589,0.0008656898,0.001206674,0.001114281,0.001319874,0.001434601],"domain_scores_gemma":[0.9940419,0.002501803,0.0004964812,0.001540591,0.0005045828,0.0009146489],"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":[0.0006027025,0.00263753,0.1252071,0.0003497048,0.0003242738,0.001083383,0.01170891,0.01882333,0.050036,0.7580826,0.004512306,0.02663218],"study_design_scores_gemma":[0.0009812337,0.0001747158,0.04290097,0.000181985,0.0002127486,0.001725464,0.001398087,0.08316728,0.01008221,0.8487828,0.009464137,0.0009284219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636258,0.0002069307,0.127467,0.001467263,0.0001029712,0.0005829346,0.00006281921,0.0002249824,0.006259343],"genre_scores_gemma":[0.8900833,0.0001084712,0.1082979,0.0008467482,0.0001842563,0.0001481892,0.00001835929,0.00005130713,0.00026145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09070018,"threshold_uncertainty_score":0.9997577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437960350741967,"score_gpt":0.3587236677582366,"score_spread":0.324344064250817,"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."}}