{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007186274,0.00134798,0.0004903175,0.002621786,0.000404072,0.001720828,0.0005276509,0.000379035,0.004109194],"category_scores_gemma":[0.003287748,0.00039844,0.0005026698,0.003200125,0.0005222878,0.00136755,0.00082969,0.0007307547,0.0007335847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548716,"about_ca_system_score_gemma":0.0005590871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003087905,"about_ca_topic_score_gemma":0.001287773,"domain_scores_codex":[0.9993258,0.0001911926,0.00003928477,0.0001530082,0.0002417246,0.00004908222],"domain_scores_gemma":[0.9988079,0.0004047493,0.0002207081,0.0002048606,0.000325616,0.00003609137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007715105,0.0002132055,0.008841283,0.0004379051,0.0001976153,0.0004867406,0.001069805,0.1737945,0.1087265,0.0389796,0.009422732,0.6570585],"study_design_scores_gemma":[0.00006852542,0.0002471777,0.009907103,0.00004216896,0.00006448826,0.0004249242,0.0002037751,0.8846217,0.06326681,0.02066948,0.02033298,0.0001508456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02658578,0.0001716584,0.9659048,0.0001034032,0.00004637007,0.00006726825,0.0003159399,0.004616681,0.002188],"genre_scores_gemma":[0.3232695,0.0004727734,0.6734995,0.00002962771,0.000050686,0.0001714555,0.0005071214,0.0004756741,0.001523634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004109194,"threshold_uncertainty_score":0.01374668,"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."}}