{"id":"W2322071409","doi":"10.2514/6.2010-3938","title":"A Low-Dispersion and Low-Dissipation Implicit Runge-Kutta Scheme","year":2010,"lang":"en","type":"article","venue":"","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Runge–Kutta methods; Dissipation; Dispersion (optics); Scheme (mathematics); Computer science; Mechanics; Physics; Mathematics; Mathematical analysis; Optics; Thermodynamics; Quantum mechanics; Differential equation","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":[0.0004127214,0.0004786473,0.0008408321,0.0004242571,0.0006232234,0.0006439651,0.001544725,0.0005875604,0.004952911],"category_scores_gemma":[0.0007935185,0.0003615844,0.0004902282,0.0003926685,0.0004809719,0.0004262032,0.0009422353,0.001210144,0.002052029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003896791,"about_ca_system_score_gemma":0.001222634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156227,"about_ca_topic_score_gemma":0.001318138,"domain_scores_codex":[0.9995533,0.00006105625,0.00002665585,0.00004478692,0.0002814183,0.00003279036],"domain_scores_gemma":[0.9997151,0.00005754683,0.00003398213,0.00006795757,0.00009187418,0.00003342041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002477978,0.0002591382,0.00137261,0.000680763,0.00006738497,0.0003542072,0.0002755601,0.3065507,0.2089349,0.1508591,0.01297736,0.3174205],"study_design_scores_gemma":[0.0001321279,0.0002240181,0.000623651,0.00003491974,0.00003518818,0.0002899016,0.00001495125,0.883641,0.03196733,0.007963226,0.07500431,0.00006934844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007330222,0.0001780916,0.9856375,0.00006515771,0.0001074554,0.0001605106,0.000137301,0.0011736,0.005210015],"genre_scores_gemma":[0.1133935,0.0003306089,0.8664045,0.00006064557,0.00007396246,0.0005086719,0.0004429311,0.0002589696,0.0185262],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004952911,"threshold_uncertainty_score":0.01656914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002744095490189479,"score_gpt":0.1980915118850963,"score_spread":0.1953474163949068,"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."}}