{"id":"W4411148261","doi":"10.1016/j.actaastro.2025.06.010","title":"Numerical study of the detonation re-initiation from Mach reflections through a bifurcated converging-diverging channel","year":2025,"lang":"en","type":"article","venue":"Acta Astronautica","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Shanghai Municipal Education Commission; National Natural Science Foundation of China; Shanghai Science and Technology Development Foundation; Natural Science Foundation of Shanghai","keywords":"Detonation; Mach number; Mechanics; Mach reflection; Aerospace engineering; Channel (broadcasting); Mach wave; Physics; Computer science; Engineering; Telecommunications; Explosive material; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006478183,0.0001173738,0.000138284,0.0001065685,0.0001586993,0.00002866772,0.0001693436,0.00005374315,0.0001585867],"category_scores_gemma":[0.0001032075,0.0001046878,0.00004206125,0.0007510448,0.00002654907,0.0001820195,0.00004909381,0.0001685042,0.0000082615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009769531,"about_ca_system_score_gemma":0.00004526535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008584941,"about_ca_topic_score_gemma":0.0000431596,"domain_scores_codex":[0.9991548,0.00005234847,0.000277986,0.0001651379,0.0002140776,0.0001356468],"domain_scores_gemma":[0.9994381,0.0001303994,0.00006429151,0.000217051,0.0001279922,0.00002214702],"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":[0.000476336,0.004651703,0.06329263,0.0005786156,0.002401041,0.000008113682,0.05239036,0.7655363,0.03988356,0.02199353,0.02192421,0.0268636],"study_design_scores_gemma":[0.004394138,0.0002448636,0.3710831,0.0002700301,0.0004406725,0.00000302397,0.01113405,0.536725,0.05018486,0.008849589,0.01601212,0.0006585778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545392,0.0001669656,0.1169765,0.002581118,0.001712406,0.0007586578,0.00003876524,0.0007228694,0.02250355],"genre_scores_gemma":[0.9993892,0.000007762306,0.0002579222,0.0001115617,0.00002785656,0.00003632786,0.0000253265,0.0000127997,0.0001312364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3077904,"threshold_uncertainty_score":0.4269045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152483563477544,"score_gpt":0.2813644490302861,"score_spread":0.2598396133955106,"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."}}