{"id":"W2796212842","doi":"10.15242/heaig.h1217807","title":"Fault Detection in the Activated Sludge Process using the Kohonen Self-Organising Map","year":2018,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Self-organizing map; Fault detection and isolation; Process (computing); Computer science; Activated sludge; Artificial intelligence; Engineering; Waste management; Cluster analysis; Sewage treatment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003968393,0.0003195909,0.0003390449,0.0004644569,0.0002444148,0.0004234703,0.0002888413,0.0003884933,0.0003217309],"category_scores_gemma":[0.001263331,0.0001548759,0.0003199583,0.0003522814,0.000290457,0.0005478988,0.0003221406,0.0002665996,0.00007264421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167961,"about_ca_system_score_gemma":0.0002653897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250503,"about_ca_topic_score_gemma":0.00272026,"domain_scores_codex":[0.9997953,0.00005603065,0.00001375235,0.00003180451,0.00008167049,0.00002160794],"domain_scores_gemma":[0.9994258,0.0003964977,0.00004470863,0.00002204191,0.00009535703,0.00001577483],"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":[0.0005990203,0.0001026003,0.006128977,0.0003316225,0.0001247851,0.0003474748,0.0005379735,0.6577061,0.05677624,0.00152742,0.000372544,0.2754453],"study_design_scores_gemma":[0.000004888454,0.00005396728,0.001556182,0.000004108381,0.000007346856,0.00004248696,0.00003511269,0.9904912,0.006811858,0.000839882,0.0001430636,0.000009787026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4277355,0.0004583781,0.569831,0.00009635563,0.00003712751,0.00004020909,0.00005911509,0.0005709811,0.001171403],"genre_scores_gemma":[0.9534785,0.00006743111,0.04601546,0.000006916445,0.000004021428,0.0000120015,0.00002788407,0.000009750766,0.0003781895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003250503,"threshold_uncertainty_score":0.00646317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030656657111126,"score_gpt":0.2367911626268353,"score_spread":0.226484596055724,"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."}}