{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001037173,0.0003032142,0.0004102701,0.000205366,0.00007176075,0.00007428963,0.000651715,0.0006202287,0.0002063105],"category_scores_gemma":[0.000389272,0.0003154472,0.0001101593,0.001050595,0.00004199355,0.0002447338,0.00008785266,0.002144394,0.00001647326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438973,"about_ca_system_score_gemma":0.0001474704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002426793,"about_ca_topic_score_gemma":0.000002056967,"domain_scores_codex":[0.9974259,0.00003705285,0.0005734998,0.0003545589,0.0007671675,0.0008417878],"domain_scores_gemma":[0.9988201,0.0001562097,0.00004103541,0.0004720269,0.0001725443,0.0003381387],"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":[0.00003097475,0.00003942137,0.000001406508,0.00006669799,0.00004127897,0.000006088657,0.00002095558,0.6417525,0.3528196,0.00003045349,0.00002348979,0.005167086],"study_design_scores_gemma":[0.0008644568,0.00004445304,0.000001208122,0.00007576337,0.00001321434,0.00001673051,0.00002592677,0.9144938,0.08269768,0.00005250662,0.001439674,0.0002745986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944389,0.0004889278,0.001867285,0.00005130022,0.0001800793,0.0002288971,0.00001657762,0.000306028,0.002421983],"genre_scores_gemma":[0.9984471,0.00007896269,0.0001586208,0.000001405316,0.0009980027,0.00002743483,0.00003140663,0.00009545636,0.0001616549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2727412,"threshold_uncertainty_score":0.9999298,"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."}}