{"id":"W4255177256","doi":"10.32920/ryerson.14654433","title":"A computer simulator for steel plant electrical arc furnace regulator","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Engineering; Control engineering; Simulation; Fuzzy logic; Fuzzy control system; Electric arc furnace; Control system; Control theory (sociology); Computer science; Control (management); Artificial intelligence","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":[0.000209499,0.0003054089,0.0003128651,0.0002577615,0.0001801659,0.00038344,0.0006826033,0.0005567441,0.006591782],"category_scores_gemma":[0.0007855656,0.0001533605,0.0002182491,0.0002342511,0.0002015655,0.0003343525,0.0002712534,0.0004453254,0.0008491429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506968,"about_ca_system_score_gemma":0.0005377518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635386,"about_ca_topic_score_gemma":0.001138991,"domain_scores_codex":[0.9998386,0.00004268268,0.000009398037,0.00002877418,0.00007015065,0.00001030041],"domain_scores_gemma":[0.9996601,0.000153205,0.00001742451,0.00006496022,0.00008562376,0.0000186353],"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":[0.0003615324,0.0002039967,0.001684858,0.0002583321,0.00003886575,0.0002848283,0.0002288655,0.8342903,0.1006402,0.00744807,0.003718963,0.05084124],"study_design_scores_gemma":[0.00004759714,0.0001921896,0.0005900513,0.00001098441,0.00001197771,0.00008068226,0.00001662827,0.9702209,0.01658526,0.0006562701,0.01157523,0.00001239868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2129856,0.0002804506,0.7446364,0.0002265648,0.00019339,0.0005386018,0.001551285,0.01254304,0.02704469],"genre_scores_gemma":[0.9105318,0.0001950351,0.07365184,0.00003854867,0.0000141039,0.0003926806,0.001005463,0.0002467118,0.01392377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006591782,"threshold_uncertainty_score":0.02205175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149992919115238,"score_gpt":0.2432893265645432,"score_spread":0.2317893973733908,"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."}}