{"id":"W2072674009","doi":"10.1002/aic.13846","title":"Process monitoring using principal components in parallel coordinates","year":2012,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Suncor Energy Incorporated","keywords":"Parallel coordinates; Visualization; Principal component analysis; Process (computing); Computer science; Data visualization; Principal (computer security); Data mining; Column (typography); Real-time computing; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002960612,0.0001014803,0.0001433949,0.0001045885,0.00006940321,0.00004328366,0.00009053024,0.00005973239,0.00001467708],"category_scores_gemma":[0.00001531557,0.00009418077,0.00003854932,0.000123752,0.000007084832,0.0003252592,0.000009091677,0.0003251783,0.00002038163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316969,"about_ca_system_score_gemma":0.00000845079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001756921,"about_ca_topic_score_gemma":0.000002199966,"domain_scores_codex":[0.9991912,0.00003238797,0.0002453978,0.0000494855,0.0001547272,0.0003268651],"domain_scores_gemma":[0.999729,0.00001499998,0.00004405532,0.00005924133,0.00002510983,0.0001276456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003430528,0.00007512209,0.7405798,0.00008803351,0.00009056622,0.00002325583,0.001841585,0.1811361,0.07332041,0.00001390651,0.00005359636,0.002743264],"study_design_scores_gemma":[0.003878013,0.00005341053,0.4079601,0.0005671962,0.00004950108,0.001595212,0.002448282,0.5611357,0.01580708,0.0001130188,0.005590057,0.0008024143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956697,0.001093124,0.001065839,0.00001430814,0.001537374,0.00006212561,3.148182e-7,0.00006338774,0.0004938175],"genre_scores_gemma":[0.9990131,0.00002038336,0.0002066275,0.000005806583,0.0006976269,0.000005103338,1.87769e-7,0.00002018031,0.00003103857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3799996,"threshold_uncertainty_score":0.3840581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393423591051792,"score_gpt":0.2804105347500925,"score_spread":0.2410681756449133,"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."}}