{"id":"W4413342196","doi":"10.1063/5.0282374","title":"Peculiarity of moving weak shock computations: Entropy generation analysis of numerically expressed shock waves","year":2025,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Japan Society for the Promotion of Science","keywords":"Physics; Shock wave; Computation; Shock (circulatory); Entropy (arrow of time); Statistical physics; Moving shock; Mechanics; Classical mechanics; Quantum mechanics; Algorithm; Medicine","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":[0.0004288989,0.0003104974,0.0002241796,0.0005121583,0.0002786501,0.0005174857,0.0004089976,0.0002876162,0.0006177453],"category_scores_gemma":[0.002125167,0.0001369407,0.0003132441,0.0002426276,0.0006815442,0.000517634,0.0005870927,0.0004433211,0.00007032029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001816445,"about_ca_system_score_gemma":0.0002662064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007648854,"about_ca_topic_score_gemma":0.0004170314,"domain_scores_codex":[0.9998554,0.00003038877,0.00001435751,0.0000157361,0.00006107926,0.0000231672],"domain_scores_gemma":[0.9995154,0.0002035112,0.00007244908,0.00007893902,0.00009321892,0.00003650014],"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":[0.0005492087,0.0001378375,0.01995333,0.0002164369,0.00008966881,0.0006745845,0.0005267581,0.7127578,0.181797,0.03560604,0.0003196426,0.04737162],"study_design_scores_gemma":[0.000007421792,0.00005476519,0.001694327,0.000004400157,0.000006587834,0.00003038144,0.00002579822,0.984405,0.01220385,0.001449623,0.0001112913,0.000006505609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793358,0.0001289947,0.1180309,0.00009424469,0.00002861064,0.00004369656,0.00003488012,0.0001453282,0.002157552],"genre_scores_gemma":[0.9915058,0.00003728785,0.008074502,0.000008532274,0.000005046717,0.00001072613,0.00002920695,0.00001689672,0.0003120668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007648854,"threshold_uncertainty_score":0.002268255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008782898038412807,"score_gpt":0.2370436175012314,"score_spread":0.2282607194628186,"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."}}