{"id":"W2046888809","doi":"10.1002/cjce.21881","title":"Support vector machines combined to observers for fault diagnosis in chemical reactors","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fault detection and isolation; Support vector machine; Nonlinear system; Process (computing); Observer (physics); Fault (geology); Computer science; Actuator; Isolation (microbiology); Control engineering; Engineering; Control theory (sociology); Artificial intelligence; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678651,0.0001614928,0.0002788292,0.0001693431,0.00002117396,0.00006637997,0.0002906992,0.0001010344,0.00006928419],"category_scores_gemma":[0.0003047681,0.0001318506,0.0001252779,0.000218973,0.00001547535,0.0001100583,0.000006908479,0.0003025558,0.00001426876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003599174,"about_ca_system_score_gemma":0.00007036603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899253,"about_ca_topic_score_gemma":0.0005744286,"domain_scores_codex":[0.9990137,0.00000712206,0.0004000121,0.00008329711,0.0001259392,0.0003699732],"domain_scores_gemma":[0.9990882,0.0001429042,0.00003787745,0.000127374,0.00007175614,0.0005319384],"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":[0.00004829521,0.00002287359,0.002024441,0.0002165955,0.0002279333,0.00003936774,0.001175318,0.1624342,0.8081762,0.0002601591,0.01901229,0.006362385],"study_design_scores_gemma":[0.003868628,0.0002517999,0.003456233,0.0004690271,0.00008865624,0.0002155249,0.0001269038,0.489437,0.4616121,0.000217691,0.03903535,0.001221132],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975639,0.00009122802,0.0001691536,0.001090554,0.0006742019,0.00028983,0.000009943322,0.00003943768,0.00007176208],"genre_scores_gemma":[0.9993044,0.000001196038,0.0002180634,0.0000968974,0.0002254269,0.00009514164,0.000002389467,0.00003966433,0.00001686554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465641,"threshold_uncertainty_score":0.5376713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008066169392261322,"score_gpt":0.1890734115783029,"score_spread":0.1810072421860416,"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."}}