{"id":"W2058817916","doi":"10.1179/030192310x12731438631840","title":"Applications of Computational Fluid Dynamics (CFD) in iron- and steelmaking: Part 2","year":2010,"lang":"en","type":"article","venue":"Ironmaking & Steelmaking Processes Products and Applications","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Steelmaking; Computational fluid dynamics; Continuous casting; Tundish; Ladle; Slag (welding); Mechanical engineering; Casting; Fluid dynamics; Engineering; Mechanics; Mixing (physics); Metallurgy; Process engineering; Materials science; 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":[0.0007537772,0.0006199607,0.0006205504,0.001108642,0.0005849796,0.001558506,0.0005744354,0.001620827,0.003289805],"category_scores_gemma":[0.001081954,0.0004324218,0.0005863776,0.001135725,0.0009852828,0.001196834,0.0007146128,0.001214087,0.00135261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008756225,"about_ca_system_score_gemma":0.0007824688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492551,"about_ca_topic_score_gemma":0.001587189,"domain_scores_codex":[0.9995294,0.0001044972,0.0000386754,0.00006049854,0.0002351665,0.00003176707],"domain_scores_gemma":[0.9995927,0.0002175073,0.0000248656,0.00002112221,0.0001296796,0.00001408925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000709911,0.000107417,0.001125683,0.004112124,0.00005864341,0.0007324296,0.000612091,0.03172931,0.0138304,0.09599409,0.04231198,0.8093148],"study_design_scores_gemma":[0.000007996598,0.00009156624,0.001667997,0.001122879,0.00002285738,0.0008304678,0.0001912081,0.01455199,0.007888102,0.02626257,0.9472875,0.00007483432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008260556,0.7959309,0.1126069,0.006754227,0.008386874,0.000153081,0.000103185,0.000232856,0.06757148],"genre_scores_gemma":[0.06335362,0.8151293,0.05323992,0.001927821,0.006463157,0.0001835062,0.0002038107,0.0001796496,0.05931935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003289805,"threshold_uncertainty_score":0.01100552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006752879240376587,"score_gpt":0.2209425165080968,"score_spread":0.2141896372677202,"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."}}