{"id":"W2921942728","doi":"10.3390/met9030309","title":"Model Development for Refining Rates in Oxygen Steelmaking: Impact and Slag-Metal Bulk Zones","year":2019,"lang":"en","type":"article","venue":"Metals","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Refining (metallurgy); Steelmaking; Slag (welding); Basic oxygen steelmaking; Metallurgy; Impurity; Materials science; Environmental science; Oxygen; Jet (fluid); Chemistry; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008434187,0.0010595,0.00159475,0.0007268296,0.0008394612,0.001368064,0.002896289,0.002533644,0.003217181],"category_scores_gemma":[0.001697947,0.0007032935,0.002074747,0.0007622837,0.0005350056,0.0012865,0.001152506,0.001945296,0.0006969297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528572,"about_ca_system_score_gemma":0.002678747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0307444,"about_ca_topic_score_gemma":0.01477789,"domain_scores_codex":[0.9997335,0.00005881143,0.0000208297,0.00005638009,0.0000791254,0.00005131234],"domain_scores_gemma":[0.99941,0.0003046373,0.00004775455,0.00003833276,0.0001639883,0.00003532121],"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":[0.00001494508,0.00001839499,0.0004044346,0.00003774951,0.0000105367,0.00004168161,0.00002444051,0.9946051,0.0009495869,0.002262977,0.0001306745,0.001499455],"study_design_scores_gemma":[0.000006885535,0.000007939492,0.0001011757,0.00000438785,0.000005290033,0.000006922505,0.000009519272,0.9980324,0.000457558,0.0007866844,0.0005750036,0.000006179263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.13858,0.0007765943,0.8295619,0.0006859482,0.0001893984,0.0004688336,0.002418672,0.001370809,0.02594782],"genre_scores_gemma":[0.8988248,0.0009181017,0.07681851,0.0001689304,0.0000831805,0.001530877,0.001625011,0.0006319527,0.01939854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0307444,"threshold_uncertainty_score":0.06113088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751560122669023,"score_gpt":0.2697284063998422,"score_spread":0.242212805173152,"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."}}