{"id":"W2560818228","doi":"10.1002/cjce.22753","title":"A soft sensor for the sulphur dioxide converter in an industrial smelter","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smelting; Sulfur dioxide; Soft sensor; Sulfur; Environmental science; Catalytic converter; Chemistry; Metallurgy; Waste management; Materials science; Catalysis; Inorganic chemistry; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003259494,0.000611312,0.0007320498,0.0003508877,0.000337225,0.0008632874,0.001006188,0.001120446,0.0008979316],"category_scores_gemma":[0.0006963199,0.0002678807,0.0003234026,0.0002528929,0.000441555,0.000809926,0.0004459152,0.0005668079,0.0003839329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005716577,"about_ca_system_score_gemma":0.0003889634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008494075,"about_ca_topic_score_gemma":0.001322543,"domain_scores_codex":[0.9994237,0.00009980005,0.00002243009,0.0001288299,0.0002996097,0.00002565141],"domain_scores_gemma":[0.9996285,0.0001527594,0.00006694758,0.00002619006,0.0001057921,0.00001964955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006315616,0.0002266929,0.003739326,0.0005991978,0.00007636115,0.0003863706,0.0002436331,0.03291762,0.8237773,0.002500944,0.002198033,0.1327029],"study_design_scores_gemma":[0.00004038803,0.0005400361,0.003729784,0.00003518614,0.00004997268,0.0003642814,0.00007803855,0.6376518,0.3533819,0.0007874619,0.003263038,0.00007804137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2232422,0.001296833,0.7649131,0.000566446,0.0003833632,0.000178417,0.0002791097,0.002180896,0.006959713],"genre_scores_gemma":[0.9500732,0.0002635621,0.04521191,0.0002204075,0.00003786731,0.00006804061,0.0000653122,0.0000211211,0.004038678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001120446,"threshold_uncertainty_score":0.004147649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325519980398215,"score_gpt":0.1922814805788324,"score_spread":0.1790262807748502,"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."}}