{"id":"W2962962534","doi":"10.1109/tvcg.2018.2859931","title":"Continuous-Scale Kinetic Fluid Simulation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ShanghaiTech University; University of British Columbia; National Natural Science Foundation of China","keywords":"Computer science; Initialization; Lattice Boltzmann methods; Relaxation (psychology); Graphics; Computational fluid dynamics; Computational science; Mathematical optimization; Mathematics; Mechanics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006769635,0.0001690353,0.000158428,0.0002279806,0.0002287774,0.00007051472,0.0000561166,0.00008967907,0.00004017993],"category_scores_gemma":[0.000001175211,0.0001761039,0.00004916844,0.0004063088,0.0001053448,0.0001618487,0.000001371533,0.00008526487,0.00003546486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001692167,"about_ca_system_score_gemma":0.000004851106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003081847,"about_ca_topic_score_gemma":0.0000181848,"domain_scores_codex":[0.9991896,0.00003358697,0.0002484558,0.0001976021,0.0001742687,0.0001565368],"domain_scores_gemma":[0.9994864,0.00008990007,0.00002852026,0.0001551591,0.0001729295,0.00006708881],"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":[0.0000663747,0.0002540032,0.0006739261,0.0001494202,0.0002781601,0.000002295511,0.00509755,0.9287556,0.0003420839,0.03981866,0.001113855,0.02344804],"study_design_scores_gemma":[0.0004288549,0.0001313929,0.001222398,0.00002554217,0.0000343814,0.000002094581,0.00002860548,0.9924669,0.001543081,0.0001316768,0.003789627,0.0001954072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0909329,0.00003738797,0.9073846,0.00000845769,0.0007163659,0.000156872,0.000007621833,0.0004966889,0.0002590619],"genre_scores_gemma":[0.9990407,0.00009305574,0.000281402,0.000311698,0.0001598114,0.00001037191,0.00000533388,0.00003417024,0.00006347399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9081078,"threshold_uncertainty_score":0.7181309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689865097914916,"score_gpt":0.2690213602950297,"score_spread":0.2521227093158805,"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."}}