{"id":"W2366817827","doi":"","title":"Numerical Study on High-speed Heterogeneous Condensation Flow of Wet Steam","year":2012,"lang":"en","type":"article","venue":"Journal of Chinese Society of Power Engineering","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Condensation; Superheating; Superheated steam; Mechanics; Steam turbine; Turbine; Nozzle; Stator; Cascade; Thermodynamics; Nucleation; Materials science; Shock (circulatory); Chemistry; 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":[0.000324802,0.0005523352,0.0006370728,0.0005356049,0.000734999,0.000607395,0.0007654994,0.001106573,0.00152402],"category_scores_gemma":[0.0007916945,0.0003244118,0.0006845187,0.0004159684,0.0007995641,0.0006797043,0.0004889673,0.0004531572,0.0001135912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008955977,"about_ca_system_score_gemma":0.0009444363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935251,"about_ca_topic_score_gemma":0.00524631,"domain_scores_codex":[0.9998479,0.00003446561,0.000007878486,0.00002882666,0.0000438881,0.00003705761],"domain_scores_gemma":[0.9996943,0.000130245,0.0000491349,0.00001756714,0.00007009579,0.00003874433],"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":[0.0000478127,0.00004111447,0.001807758,0.000053998,0.00001423261,0.0001941187,0.00005770724,0.9856136,0.00608812,0.00438168,0.0001512024,0.001548577],"study_design_scores_gemma":[0.000006310581,0.000009362312,0.0001335495,0.000001163105,0.000001393686,0.000005831082,0.000005468639,0.9993432,0.0003147034,0.0001256215,0.00005099168,0.0000024536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8399988,0.0004634445,0.1393158,0.0003571757,0.000136781,0.0001655612,0.0002765201,0.0003196689,0.01896621],"genre_scores_gemma":[0.9883069,0.0001216946,0.009647964,0.00002212588,0.00001742573,0.00006362272,0.00007666012,0.00002211381,0.001721571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01935251,"threshold_uncertainty_score":0.03847969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041153047514078,"score_gpt":0.2384486245213995,"score_spread":0.2280370940462587,"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."}}