{"id":"W4389782876","doi":"10.3103/s1066369x23090074","title":"Numerical Simulation of Compressible Gas Flow in Flat Channels in the Narrow Channel Approximation","year":2023,"lang":"en","type":"article","venue":"Russian Mathematics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compressibility; Compressible flow; Mathematics; Mechanics; Supersonic speed; Plane (geometry); Nozzle; Flow (mathematics); Pressure gradient; Choked flow; Channel (broadcasting); Computational fluid dynamics; Open-channel flow; Mathematical analysis; Geometry; Physics; Thermodynamics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002471513,0.0003775848,0.0007234066,0.0004755684,0.0006452986,0.0006885533,0.0006225719,0.0008352033,0.001275198],"category_scores_gemma":[0.0009418704,0.0002102438,0.0003265889,0.0005927506,0.0008119398,0.0003635731,0.0004476051,0.0003765555,0.0001092876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006574015,"about_ca_system_score_gemma":0.0008679723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552472,"about_ca_topic_score_gemma":0.005047947,"domain_scores_codex":[0.9998497,0.00004022181,0.000007423419,0.00002017202,0.00003694211,0.00004558024],"domain_scores_gemma":[0.9996076,0.0001976874,0.00004624226,0.00003120308,0.0000578529,0.00005951654],"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":[0.0000612825,0.00003794126,0.001233638,0.0000148056,0.000007199502,0.00009474724,0.0000268962,0.994366,0.001608391,0.001685093,0.00006200451,0.0008020519],"study_design_scores_gemma":[0.00001137663,0.00002609644,0.0004231934,0.000001980108,0.000002028032,0.000009400184,0.00001426895,0.9987489,0.0004798041,0.0001783747,0.0001006761,0.00000402381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605407,0.0001615894,0.03034874,0.0001199768,0.00003738941,0.00006457933,0.0002600252,0.0002193647,0.008247627],"genre_scores_gemma":[0.994642,0.00006594255,0.004036837,0.000012456,0.000005017705,0.00004605222,0.00007779697,0.000008750098,0.001105159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01552472,"threshold_uncertainty_score":0.03086871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662668001299429,"score_gpt":0.2449919355778994,"score_spread":0.2283652555649052,"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."}}