{"id":"W1516578388","doi":"10.1002/9780470400531.eorms0540","title":"Monte Carlo Simulation as an Aid for Deciding Among Treatment Options","year":2011,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Operations Research and Management Science","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monte Carlo method; Key (lock); Overtime; Computer science; Risk analysis (engineering); Management science; Operations research; Medicine; Engineering; Economics; Mathematics; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008538524,0.0002222185,0.0005657608,0.001924001,0.0007315494,0.0002141975,0.0005140274,0.0001310199,0.0006295941],"category_scores_gemma":[0.001037729,0.00024901,0.00006486945,0.0005558303,0.0006385804,0.0009089158,0.000141986,0.0001089056,0.0002286865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004114371,"about_ca_system_score_gemma":0.0002349364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007473277,"about_ca_topic_score_gemma":0.003900465,"domain_scores_codex":[0.9966525,0.0001502271,0.00143581,0.0009333561,0.0002725647,0.0005555098],"domain_scores_gemma":[0.9980715,0.0002660523,0.0004163761,0.0007469365,0.0001829649,0.0003162073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005687375,0.001202189,0.01126445,0.001389303,0.0003487941,0.000004633937,0.006590161,0.02721996,0.000003451813,0.8068552,0.139182,0.005882945],"study_design_scores_gemma":[0.001192199,0.0009638413,0.003311169,0.0004410617,0.00002865687,9.473337e-7,0.001885406,0.1179406,0.000003800364,0.004751368,0.8689123,0.0005686674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03189504,0.005048593,0.01595983,0.001810093,0.001069899,0.01202582,0.00116778,0.0001735132,0.9308494],"genre_scores_gemma":[0.07885429,0.04511338,0.06604641,0.0003718619,0.0008220406,0.003854117,0.0001485039,0.0003265648,0.8044629],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8021039,"threshold_uncertainty_score":0.9999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3721604842810826,"score_gpt":0.4890192506952454,"score_spread":0.1168587664141628,"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."}}