{"id":"W4246588898","doi":"10.1007/978-3-030-18869-6_9","title":"Simulation with CTDS Models","year":2019,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ode; Computer science; Classification of discontinuities; Mathematical optimization; Ordinary differential equation; Property (philosophy); Task (project management); Domain (mathematical analysis); Applied mathematics; Differential equation; Mathematics; Engineering; Systems engineering","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":[0.000316669,0.0007553696,0.0007145645,0.0006979656,0.0005171625,0.002295544,0.001118883,0.001120611,0.02554976],"category_scores_gemma":[0.001745979,0.0004668136,0.001062175,0.000956504,0.0008256551,0.001853744,0.001623455,0.00153312,0.004962283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114446,"about_ca_system_score_gemma":0.0009587694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003660024,"about_ca_topic_score_gemma":0.002720948,"domain_scores_codex":[0.999611,0.00009658273,0.00001890332,0.00006273224,0.0001882636,0.00002247633],"domain_scores_gemma":[0.9995645,0.0001760075,0.00002529262,0.0001045125,0.0001017191,0.000028003],"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":[0.00002984715,0.0000256337,0.0002727711,0.0001401577,0.00002818736,0.00008497199,0.00007191397,0.3286256,0.001527288,0.6158866,0.0136231,0.03968405],"study_design_scores_gemma":[0.00001610518,0.00001960473,0.0001251346,0.00007275022,0.00001546947,0.00009874177,0.0000259465,0.6997516,0.001713357,0.1953004,0.1028431,0.00001773979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004188599,0.001386138,0.8215381,0.0008869023,0.0005591684,0.00009397776,0.0008397903,0.00130844,0.1691988],"genre_scores_gemma":[0.3678266,0.006564686,0.3182497,0.0007453836,0.00060987,0.0006456407,0.003611497,0.001744132,0.3000023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02554976,"threshold_uncertainty_score":0.08547246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630088920584316,"score_gpt":0.4585546587129628,"score_spread":0.2955457666545313,"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."}}