{"id":"W1992034510","doi":"10.1021/ie050101b","title":"Dynamic Modeling of an Industrial Electric Arc Furnace","year":2005,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Electric arc furnace; Steelmaking; Robustness (evolution); Process engineering; Computer science; Electric arc; Process (computing); Process modeling; Process optimization; Chemistry; Environmental science; Engineering; Materials science; Metallurgy","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":[0.0002241805,0.0007119238,0.0008272412,0.0005245266,0.0006267503,0.001107523,0.001260447,0.001224545,0.004785753],"category_scores_gemma":[0.0004073416,0.0004858021,0.0005843165,0.0004409202,0.0005910241,0.0009294195,0.0007949963,0.0007002549,0.0007845105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007999944,"about_ca_system_score_gemma":0.00101639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0155071,"about_ca_topic_score_gemma":0.005751686,"domain_scores_codex":[0.9997848,0.00004103178,0.000009904506,0.00005958394,0.00008114296,0.00002351565],"domain_scores_gemma":[0.9998996,0.0000338736,0.00001988798,0.000009450111,0.0000254508,0.00001159983],"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":[0.0000189182,0.00001346374,0.0002015442,0.00002237437,0.000006736841,0.00005866354,0.00002273768,0.9904532,0.001733353,0.004601416,0.0001824406,0.002685145],"study_design_scores_gemma":[0.000008809672,0.00001468074,0.0001322093,0.000003900554,0.000004319806,0.00001964779,0.000007350409,0.9966084,0.000410325,0.001032256,0.001752375,0.000005683359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09319544,0.0007757433,0.8184288,0.0006318054,0.0001078239,0.0002059253,0.001011913,0.001526804,0.08411581],"genre_scores_gemma":[0.9313731,0.000894462,0.0314616,0.00007831712,0.00003744586,0.0003408286,0.0007118852,0.0001282803,0.03497414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0155071,"threshold_uncertainty_score":0.03083366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06938618018541383,"score_gpt":0.3059200496082803,"score_spread":0.2365338694228665,"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."}}