{"id":"W2141398579","doi":"10.1061/(asce)cp.1943-5487.0000349","title":"Numerical DAE Approach for Solving a System Dynamics Problem","year":2013,"lang":"en","type":"article","venue":"Journal of Computing in Civil Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Runge–Kutta methods; Spurious relationship; Stability (learning theory); Mathematics; Applied mathematics; Numerical analysis; Numerical stability; Differential equation; Algebraic equation; Differential algebraic equation; Software; Euler method; Euler's formula; Ordinary differential equation; Computer science; Mathematical analysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001860444,0.00009858375,0.0002948355,0.0003384427,0.00005723129,0.0001859443,0.0004435268,0.00005729922,0.000006450177],"category_scores_gemma":[0.0004383923,0.00007869093,0.000123993,0.0005479499,0.000008230531,0.0002057945,0.00004881108,0.0002055018,0.000002965664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604077,"about_ca_system_score_gemma":0.00003155533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009060188,"about_ca_topic_score_gemma":8.596136e-7,"domain_scores_codex":[0.9982133,0.00001931556,0.0009818787,0.0001507048,0.0004381496,0.0001966684],"domain_scores_gemma":[0.998019,0.000944147,0.0004120339,0.0001734202,0.0003756288,0.00007581617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001596188,0.00002590305,0.001774737,0.0000352559,0.000006281894,6.193434e-7,0.0001307242,0.9871168,0.0001519258,0.005066643,0.0003191698,0.00537038],"study_design_scores_gemma":[0.0001849542,0.00002836063,0.003007686,0.0001016826,0.000003262005,0.00004228534,0.0002156257,0.9952946,0.00004206673,0.0006952902,0.000300397,0.00008381957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0370432,0.00003548569,0.9613062,0.00009741604,0.00009212753,0.0002711279,6.980483e-7,0.00005158932,0.001102211],"genre_scores_gemma":[0.7705846,4.747801e-7,0.2292656,0.000009629978,0.000102984,0.000009514596,5.279679e-7,0.00001151518,0.00001510672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7335414,"threshold_uncertainty_score":0.3208923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0348241145243212,"score_gpt":0.3153261581773695,"score_spread":0.2805020436530483,"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."}}