{"id":"W2080016359","doi":"10.1260/175722509789685856","title":"Numerical simulation of nanoparticle acceleration in a Laval micronozzle with subsequent deceleration in a wall compression layer","year":2009,"lang":"en","type":"article","venue":"International Journal of Aerospace Innovations","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Acceleration; Nanoparticle; Mechanics; Materials science; Compression (physics); Coating; Layer (electronics); Composite material; Simulation; Mechanical engineering; Nanotechnology; Physics; Engineering; Classical mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025645,0.0001051842,0.0001736979,0.0004019704,0.00001669364,0.00004406945,0.0001769548,0.0000580191,0.0000135705],"category_scores_gemma":[0.00007270306,0.0001005794,0.00003070953,0.0005870649,0.0000211931,0.0005795408,0.000009407468,0.0002172839,0.000001955483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002993089,"about_ca_system_score_gemma":0.00006275298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002591541,"about_ca_topic_score_gemma":0.0001415471,"domain_scores_codex":[0.9986665,0.00003262181,0.0007043374,0.00009053272,0.0003694864,0.0001364855],"domain_scores_gemma":[0.9990947,0.00006801062,0.0001936786,0.00009303948,0.0005190896,0.00003147305],"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":[0.00008757204,0.0001461048,0.01901496,0.000002578197,0.00001384111,0.00000988295,0.0003737383,0.6730156,0.3058016,0.0007179434,0.00003587732,0.0007802868],"study_design_scores_gemma":[0.001332293,0.0001214451,0.1107294,0.0001301185,0.000004801,0.00001870705,0.00004233658,0.8215826,0.06552793,0.0003471398,0.00005974717,0.0001035149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738977,0.00003584453,0.02451671,0.00113527,0.0001748552,0.0001179908,0.000003167351,0.00001773408,0.0001007017],"genre_scores_gemma":[0.9963478,0.00001694219,0.003484211,0.00007195611,0.00004707097,0.000004082192,0.00001058937,0.00001152231,0.000005780747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2402737,"threshold_uncertainty_score":0.4101507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988599675594297,"score_gpt":0.2893640610296577,"score_spread":0.2694780642737147,"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."}}