{"id":"W3160848244","doi":"10.1002/cjce.24193","title":"Self‐optimization for smelting process of fused magnesium furnace based on operation status assessment","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Smelting; Process (computing); Fuzzy logic; Computer science; Magnesium; Mathematical optimization; Mathematics; Artificial intelligence; Metallurgy; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005482986,0.0004858694,0.0005841915,0.0004259315,0.0003572352,0.0006194451,0.0004555249,0.0003560818,0.0004567043],"category_scores_gemma":[0.000683264,0.0002553295,0.0005076025,0.0002544653,0.0003267372,0.0006623561,0.0003522181,0.0002518251,0.0000733944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168915,"about_ca_system_score_gemma":0.0004387751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005229866,"about_ca_topic_score_gemma":0.003129045,"domain_scores_codex":[0.9997168,0.00004672761,0.00002173911,0.00007322961,0.0001167989,0.00002470171],"domain_scores_gemma":[0.9997826,0.00006738261,0.00004534964,0.00001856682,0.00007378672,0.00001221899],"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":[0.0003220321,0.0001414116,0.00711016,0.0001540516,0.00006126608,0.0001330802,0.0002057125,0.7992457,0.08992823,0.002201315,0.000404996,0.1000921],"study_design_scores_gemma":[0.000003833566,0.0000296401,0.0007095991,0.000001454384,0.000005201392,0.000005692745,0.000008038208,0.9940704,0.004955534,0.0001589238,0.00004605399,0.000005658245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4560226,0.0002767801,0.5400671,0.0001381736,0.00002341241,0.0000565899,0.00003386748,0.0006144367,0.002767025],"genre_scores_gemma":[0.9923347,0.00002735267,0.007270752,0.000005854676,0.000002079817,0.00001150503,0.00001059257,0.000007810519,0.0003293061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005229866,"threshold_uncertainty_score":0.01039886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00642818381506583,"score_gpt":0.2018989059162534,"score_spread":0.1954707221011876,"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."}}