{"id":"W2358139199","doi":"","title":"Application of DSMC Method in Micro Nozzle Flow Simulation","year":2006,"lang":"en","type":"article","venue":"Micronanoelectronic Technology","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Mach number; Mechanics; Rotational symmetry; Discharge coefficient; Flow (mathematics); Physics; Materials science; Thermodynamics","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":[0.000334208,0.0001492091,0.0002953278,0.0004052118,0.00002776836,0.000004273643,0.0002523353,0.0002806587,0.00001956573],"category_scores_gemma":[0.00005036177,0.0001555266,0.0000571737,0.0005278101,0.00008240766,0.00002590094,0.00005978742,0.0002229337,0.000008363107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870872,"about_ca_system_score_gemma":0.00005352439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000803802,"about_ca_topic_score_gemma":0.0003677596,"domain_scores_codex":[0.998785,0.00004555129,0.0004369034,0.0002839923,0.00007937039,0.0003691673],"domain_scores_gemma":[0.9991612,0.0001689603,0.0001902806,0.0004088574,0.00005947089,0.00001125336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002285439,0.00022227,0.001023903,0.000040942,0.0000119855,0.000001286795,0.00003229695,0.004725456,0.5867676,0.3687917,0.00004850179,0.03831122],"study_design_scores_gemma":[0.0006451792,0.00009393293,0.0004629763,0.00001476449,0.00002055344,0.00001682963,0.00002345552,0.08039941,0.1261334,0.7888886,0.003138795,0.0001620753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4717742,0.00046776,0.5266774,0.0003238976,0.00002263626,0.0003147036,0.000006163929,0.0001196727,0.0002935265],"genre_scores_gemma":[0.8877249,0.000006852003,0.1119923,0.00001127395,0.00001656622,0.00004001081,0.00001419847,0.00002692348,0.0001669304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4606342,"threshold_uncertainty_score":0.6342189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005391066281209155,"score_gpt":0.2795820370407667,"score_spread":0.2741909707595576,"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."}}