{"id":"W2357573126","doi":"","title":"The Application of Fuzzy Linear Programming in LD Converter Ferroalloy Model Control System","year":2002,"lang":"en","type":"article","venue":"","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Ferroalloy; Linear programming; Steelmaking; Fuzzy logic; Process (computing); Computer science; Fuzzy control system; Control theory (sociology); Control (management); Control engineering; Engineering; Algorithm; Materials science; Artificial intelligence; Metallurgy; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002189732,0.0000876897,0.0001798617,0.0000452254,0.00004011166,0.000008705371,0.0001573296,0.0001947216,0.000002030384],"category_scores_gemma":[0.000009671099,0.0000624743,0.00003826301,0.0001160979,0.00003014942,0.00004013232,0.000007212402,0.0001670975,0.00002791057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004863339,"about_ca_system_score_gemma":0.0000036071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007551586,"about_ca_topic_score_gemma":0.00009346846,"domain_scores_codex":[0.9993147,0.0000202449,0.0003087377,0.00009129518,0.00007904989,0.0001860004],"domain_scores_gemma":[0.9996615,0.00003917574,0.00003358149,0.0002205676,0.00002734131,0.00001783836],"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":[0.00009543269,0.0001122991,0.003009404,0.0003459636,0.0002914036,0.000006526276,0.0005178466,0.4016495,0.01131317,0.2829581,0.001174227,0.2985262],"study_design_scores_gemma":[0.0007979081,0.00001297189,0.00001275259,0.00001724962,0.000008478007,0.00000238855,0.0001638442,0.9972647,0.0003170765,0.00004021376,0.001295739,0.00006668603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08121512,0.002222228,0.8672902,0.001054721,0.0006893665,0.004257452,0.0000114106,0.002369891,0.0408896],"genre_scores_gemma":[0.9993295,0.000005720934,0.000137868,0.000009834031,0.00004561251,0.0002300407,6.209123e-7,0.00001254036,0.0002282326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9181144,"threshold_uncertainty_score":0.2547628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255136842035753,"score_gpt":0.1949346636887851,"score_spread":0.1823832952684275,"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."}}