{"id":"W2930232721","doi":"10.3390/met9040394","title":"Fluid Flow Control in a Billet Tundish during Steel Filling Operations","year":2019,"lang":"en","type":"article","venue":"Metals","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Sistema Nacional de Investigadores; Comisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacional","keywords":"Tundish; Caster; Water model; Superheating; Volume of fluid method; Continuous casting; Mechanics; Liquid steel; Turbulence; Materials science; Flow (mathematics); Casting; Metallurgy; Bubble; Mechanical engineering; Engineering; Composite material; Thermodynamics; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468209,0.0002825136,0.0003676045,0.0002534646,0.0004895325,0.000666166,0.0004206267,0.0004920681,0.000803624],"category_scores_gemma":[0.0003785657,0.0001767772,0.0002535803,0.0001799223,0.0005429364,0.0002437801,0.0002902925,0.0002350119,0.00007837771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004248,"about_ca_system_score_gemma":0.0009038294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272899,"about_ca_topic_score_gemma":0.006957573,"domain_scores_codex":[0.9999319,0.00000932353,0.000002966573,0.00001706997,0.00001935833,0.00001937454],"domain_scores_gemma":[0.9998616,0.00005682052,0.00003007912,0.00001037906,0.00001799405,0.00002312152],"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":[0.0008219136,0.0002221448,0.008307012,0.00008657247,0.0000235504,0.0005363867,0.0002597865,0.7497993,0.2290781,0.001760245,0.000190837,0.008914005],"study_design_scores_gemma":[0.00003790647,0.0002689311,0.002534262,0.000005595451,0.000008741034,0.00003045481,0.00006809397,0.9457484,0.05071468,0.0001131338,0.0004520587,0.00001774522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937263,0.00003880414,0.00520011,0.00003335245,0.000009558388,0.00001563806,0.00005478955,0.00008394405,0.0008374359],"genre_scores_gemma":[0.9969558,0.00002786064,0.002083915,0.000005615027,0.000001210662,0.000009504287,0.00004335873,0.000009066711,0.0008637523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272899,"threshold_uncertainty_score":0.0253098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006610110287442991,"score_gpt":0.1951718810676663,"score_spread":0.1885617707802233,"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."}}