{"id":"W2966175810","doi":"10.11159/mmme19.111","title":"Application of a Wet Resonance Grille in a Ventilating Shaft and a Model for Calculating the Efficiency of Dust Removal","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hunan University of Science and Technology; Natural Science Foundation of Hunan Province; Hunan University; National Natural Science Foundation of China","keywords":"Resonance (particle physics); Materials science; Environmental science; Acoustics; Computer science; Physics; Atomic physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002970384,0.0003422169,0.0003962441,0.0003866934,0.0003503586,0.0004594132,0.0006315798,0.0009338288,0.0007544413],"category_scores_gemma":[0.0007938104,0.0002030867,0.0007765545,0.0002919248,0.0003815716,0.0006485491,0.0003109815,0.0003943146,0.0002564814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008366553,"about_ca_system_score_gemma":0.0007364917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171006,"about_ca_topic_score_gemma":0.004639676,"domain_scores_codex":[0.9998575,0.00002429422,0.000006236653,0.00002903943,0.00006324548,0.000019611],"domain_scores_gemma":[0.9998105,0.00009073586,0.0000286791,0.00001681648,0.00004335907,0.00000979001],"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":[0.00003490822,0.00004240608,0.001040989,0.00006838577,0.000008985364,0.0001251533,0.00006057256,0.9586172,0.02791562,0.004270167,0.0001104964,0.007705129],"study_design_scores_gemma":[0.000001822385,0.00001347503,0.00009454542,9.273417e-7,0.000001283024,0.000009144053,0.000002994849,0.9982675,0.001392479,0.0001310797,0.00008246877,0.000002220319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2801636,0.000387412,0.7116047,0.0001785233,0.00002635567,0.00008858562,0.00006170252,0.0003304757,0.007158731],"genre_scores_gemma":[0.9492642,0.000338595,0.0468769,0.00002311763,0.0000118922,0.00007240349,0.00004118587,0.00003559581,0.003336148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171006,"threshold_uncertainty_score":0.02328378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004205276349454484,"score_gpt":0.1983331341454758,"score_spread":0.1941278577960213,"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."}}