{"id":"W2171536878","doi":"10.1088/0022-3727/35/17/310","title":"A self-consistent two-temperature model for the computation of supersonic argon plasma jets","year":2002,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Plasma and Flow Control in Aerodynamics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Supersonic speed; Turbulence; Mechanics; Plasma; Reynolds stress; Jet (fluid); Compressibility; Thermal; Reynolds number; Thermodynamics; Choked flow; Argon; Physics; Chemistry; Atomic physics; Nuclear physics","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":[0.0005552052,0.0006427523,0.0009448824,0.0003698185,0.000853996,0.001344742,0.002097833,0.002399172,0.001848111],"category_scores_gemma":[0.001292678,0.0007660179,0.0008742348,0.0003724674,0.001130188,0.001054065,0.0008983483,0.001293779,0.00045392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004162,"about_ca_system_score_gemma":0.001440352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008321702,"about_ca_topic_score_gemma":0.00400469,"domain_scores_codex":[0.9997867,0.0000742498,0.00001180052,0.00002809971,0.00007122143,0.00002791999],"domain_scores_gemma":[0.9996283,0.0001536037,0.00004634104,0.0000373066,0.00007971645,0.00005465883],"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":[0.00003135719,0.00002943856,0.0001834383,0.0000181441,0.00001307843,0.00004831565,0.00001495936,0.9907719,0.001503118,0.006366862,0.0001524382,0.0008669735],"study_design_scores_gemma":[0.000008409147,0.000006177615,0.00002247224,7.186276e-7,0.000001096489,0.000002547972,0.000001136024,0.99931,0.00006637649,0.0004710058,0.0001081137,0.000001920363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241469,0.0005314293,0.863313,0.0007973826,0.000211587,0.0002086755,0.0002782731,0.0007063745,0.009806295],"genre_scores_gemma":[0.8117599,0.0004917038,0.175068,0.0002394408,0.0001913387,0.0008822109,0.0004062114,0.0003135906,0.01064753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008321702,"threshold_uncertainty_score":0.01654655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556985122638112,"score_gpt":0.2032473241681459,"score_spread":0.1876774729417648,"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."}}