{"id":"W2626129289","doi":"10.5539/mas.v11n6p72","title":"A Good Numerical Method for the Solution of Generalized Regularized Long Wave Equation","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Inner Mongolia; National Natural Science Foundation of China","keywords":"Convergence (economics); Numerical analysis; Work (physics); Wave equation; Field (mathematics); Computer science; Applied mathematics; Mathematics; Mathematical analysis; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006192615,0.0004111851,0.0005400965,0.000446499,0.0006052281,0.0004058439,0.0007324786,0.0009465695,0.003078002],"category_scores_gemma":[0.001242313,0.0001723617,0.0006295014,0.0005926487,0.0004608055,0.0008704661,0.0007414444,0.000994243,0.0008270071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757856,"about_ca_system_score_gemma":0.0007819948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137794,"about_ca_topic_score_gemma":0.0009988077,"domain_scores_codex":[0.9995652,0.0001239703,0.00002477071,0.00004713458,0.0002132167,0.00002572264],"domain_scores_gemma":[0.9997209,0.00006361354,0.00002865209,0.00005470312,0.0001160514,0.00001614077],"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":[0.0001131226,0.0001195335,0.001734087,0.001002374,0.0001102947,0.0005909249,0.0004682851,0.2855392,0.09432869,0.3785551,0.01289904,0.2245393],"study_design_scores_gemma":[0.00005535567,0.0000523961,0.0004094014,0.00006593702,0.00002523408,0.0005375893,0.00003914057,0.929285,0.009101297,0.03668226,0.02369802,0.00004825813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003235803,0.0004319131,0.9931607,0.0001664981,0.0001107257,0.00003810346,0.00002917023,0.0001507713,0.002676264],"genre_scores_gemma":[0.09993935,0.0009026635,0.8930892,0.0001476654,0.000109818,0.0002748647,0.0001354335,0.000144876,0.005256116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003078002,"threshold_uncertainty_score":0.010297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05499547138474744,"score_gpt":0.3266930514993132,"score_spread":0.2716975801145657,"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."}}