{"id":"W2261644533","doi":"10.1002/cjce.22405","title":"Fault detection and diagnosis of an industrial copper electrowinning process","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vale (Canada); Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrowinning; Fault detection and isolation; Fault (geology); Process (computing); Computer science; Copper; Principal component analysis; Reliability engineering; Process engineering; Engineering; Metallurgy; Materials science; Artificial intelligence; Chemistry; Actuator","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":[0.0004896827,0.0004862153,0.00046319,0.001087372,0.0003325342,0.0004856678,0.0003265463,0.0004392521,0.0004850689],"category_scores_gemma":[0.001825799,0.0001786341,0.0003185843,0.0005720709,0.0003481028,0.0002718421,0.0002713633,0.0003555169,0.00007478202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005037796,"about_ca_system_score_gemma":0.0007778943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009086364,"about_ca_topic_score_gemma":0.003432296,"domain_scores_codex":[0.9995819,0.0000609813,0.00002979955,0.00008743686,0.0001893478,0.00005059029],"domain_scores_gemma":[0.9994857,0.0002222308,0.00007924253,0.00003016238,0.0001633813,0.00001930125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001501027,0.0003968809,0.04239553,0.0002897187,0.0001550547,0.001600077,0.0005117563,0.315819,0.2262197,0.002626218,0.001154429,0.4073307],"study_design_scores_gemma":[0.00002151868,0.000123559,0.01323967,0.000004775793,0.00002081509,0.0001562271,0.00004841792,0.9570946,0.02848803,0.0005001181,0.0002886093,0.00001364884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7333289,0.0001749314,0.2641512,0.0001618848,0.00003457808,0.00006979716,0.00008800742,0.000880426,0.001110243],"genre_scores_gemma":[0.9807328,0.0000367967,0.01893842,0.000006179403,0.000002871331,0.00001069794,0.00004628515,0.000005953083,0.0002198939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009086364,"threshold_uncertainty_score":0.01806694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906502060633152,"score_gpt":0.2114431446687301,"score_spread":0.1923781240623985,"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."}}