{"id":"W4248247425","doi":"10.32920/ryerson.14654433.v1","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; Control system; Process (computing); Control theory (sociology); Computer science; Control (management); Artificial intelligence; Operating system","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":[0.00008511859,0.0002928239,0.0004051101,0.0001085541,0.00004546215,0.0000939165,0.0002000603,0.0003259905,0.0000419336],"category_scores_gemma":[0.0000267863,0.0002908737,0.0001640502,0.00008222245,0.00001363629,0.00005066412,0.0001655213,0.0004581116,0.000002052997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090479,"about_ca_system_score_gemma":0.0000497574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002597078,"about_ca_topic_score_gemma":0.00000264524,"domain_scores_codex":[0.9988779,0.00001680058,0.0003212576,0.0003657993,0.0001383463,0.0002799421],"domain_scores_gemma":[0.999239,0.0001329766,0.00005452963,0.0003840241,0.00009006278,0.00009936801],"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":[0.00001045001,0.00001958653,0.000012484,0.000178199,0.00007042988,0.000004613867,0.00006701148,0.9848978,0.0001264756,0.0009180012,0.007853286,0.005841665],"study_design_scores_gemma":[0.0002173092,0.00003378475,0.00002307589,0.0001056286,0.00002322727,0.000006292514,0.000005822408,0.9858282,0.00531327,0.0005923137,0.007482112,0.0003689274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002745593,0.0004499299,0.9929784,0.00003921879,0.0005259883,0.0004564558,0.00006107971,0.002081733,0.0006615958],"genre_scores_gemma":[0.2211854,0.000242344,0.7763669,0.000191954,0.0004793522,0.000178029,0.0004816987,0.0001389257,0.0007353355],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2184398,"threshold_uncertainty_score":0.9999543,"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."}}