{"id":"W4400211689","doi":"10.1515/ijcre-2024-0039","title":"Effect of inlet water vapor mass fraction on flow characteristics in Laval nozzle","year":2024,"lang":"en","type":"article","venue":"International Journal of Chemical Reactor Engineering","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Inlet; Mach number; Mass fraction; Condensation; Water vapor; Discharge coefficient; Mechanics; Chemistry; Supersonic speed; Mass flow; Materials science; Thermodynamics; Mechanical engineering; Physics; Engineering","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":[0.0002975151,0.0002728199,0.0002878521,0.0002424672,0.0002032265,0.0003713531,0.0002230939,0.0002153544,0.000655747],"category_scores_gemma":[0.001045489,0.0001817509,0.0002010065,0.0002064963,0.0002726644,0.000414872,0.0001510555,0.000215706,0.00008329508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931025,"about_ca_system_score_gemma":0.000196682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533716,"about_ca_topic_score_gemma":0.0008381646,"domain_scores_codex":[0.9997777,0.00002782314,0.00002233826,0.00005182209,0.00007439891,0.00004595695],"domain_scores_gemma":[0.9994594,0.0002815234,0.0001101237,0.00002809517,0.0000900427,0.00003074322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005561876,0.00004938796,0.005419315,0.0001160509,0.000015626,0.0001421807,0.00008494525,0.007991478,0.9783044,0.000118186,0.00007063301,0.007131611],"study_design_scores_gemma":[0.0000185571,0.0002926069,0.01070567,0.000007428637,0.00002207261,0.00003187291,0.00004530474,0.02082527,0.9676513,0.00002675206,0.0003584065,0.0000147091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971473,0.000261706,0.002026597,0.00001328273,0.00001082095,0.000008258354,0.00004361334,0.00005162412,0.0004368229],"genre_scores_gemma":[0.9992212,0.00009561413,0.0004980169,0.000007271793,0.00000174271,0.000003705054,0.00004083802,0.000008795078,0.0001226958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001533716,"threshold_uncertainty_score":0.003049493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002644226456191042,"score_gpt":0.2191999776451901,"score_spread":0.2165557511889991,"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."}}