{"id":"W2770671303","doi":"10.1080/19315775.2006.11721323","title":"Simplifications from Simulations: Monte Carlo Methods for Uncertainties","year":2006,"lang":"en","type":"article","venue":"NCSLI Measure","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Monte Carlo method; Statistical physics; Computer science; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005039318,0.001174378,0.001524029,0.001920771,0.001178839,0.002590769,0.00241901,0.001337467,0.009107012],"category_scores_gemma":[0.04354933,0.001010696,0.001967928,0.001761974,0.002444627,0.004136694,0.002365551,0.004210059,0.00203895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178721,"about_ca_system_score_gemma":0.001838279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00684535,"about_ca_topic_score_gemma":0.005318583,"domain_scores_codex":[0.9954336,0.002404828,0.0001880051,0.0003142951,0.00153685,0.0001224276],"domain_scores_gemma":[0.9837306,0.01195729,0.0005591713,0.002574061,0.001000631,0.0001782138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003999679,0.0000315476,0.0003321146,0.0001831931,0.00008438896,0.00008965509,0.0001270681,0.3222087,0.0003255627,0.6148469,0.008175161,0.0535557],"study_design_scores_gemma":[0.00001035629,0.000008671725,0.0001151108,0.00006049971,0.00002375368,0.00003726643,0.00001320982,0.4624864,0.0003626336,0.5298771,0.006990745,0.00001423826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001465323,0.0005176073,0.9894281,0.0005899892,0.0001352068,0.00002607194,0.00008015398,0.0001719958,0.007585516],"genre_scores_gemma":[0.2552349,0.003370505,0.7257894,0.0007761053,0.0007540184,0.0003680179,0.0006827975,0.001292196,0.01173192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009107012,"threshold_uncertainty_score":0.03046602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3498021223751174,"score_gpt":0.4978370268798741,"score_spread":0.1480349045047566,"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."}}