{"id":"W2792541838","doi":"10.1002/cjce.23163","title":"Multimode processes monitoring based on hierarchical mode division and subspace decomposition","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspace topology; Linear subspace; Computer science; Multi-mode optical fiber; Division (mathematics); Process (computing); Mode (computer interface); Redundancy (engineering); Decomposition; Adaptability; Algorithm; Data mining; Artificial intelligence; Mathematics; Telecommunications","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":[0.0001198814,0.0001099426,0.0001320325,0.0001242266,0.00006996744,0.00006412355,0.00009988119,0.00006473537,0.000004406178],"category_scores_gemma":[0.0001061918,0.00008575953,0.00003500289,0.0001283793,0.00003750177,0.0000711261,0.000003490012,0.0002848471,0.000002412058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356005,"about_ca_system_score_gemma":0.00006664173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001968284,"about_ca_topic_score_gemma":0.0001239667,"domain_scores_codex":[0.999415,0.00000974726,0.0001757603,0.00006469341,0.0001364779,0.0001983504],"domain_scores_gemma":[0.9994283,0.00009398297,0.00002728195,0.00008546621,0.00007141351,0.0002935866],"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":[0.00003760602,0.000007045357,0.0003597796,0.0001292829,0.00004446052,0.00002338311,0.0005515122,0.704856,0.2907899,0.00005111364,0.00008523707,0.003064697],"study_design_scores_gemma":[0.0002944297,0.00004558142,0.0002289624,0.0002190808,0.000009032513,0.00004570402,0.000007174625,0.856061,0.142673,0.00001813681,0.0002963323,0.0001015508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883659,0.0002207444,0.01054426,0.0002205632,0.0004255022,0.00005790178,0.000002681402,0.00004413404,0.0001183384],"genre_scores_gemma":[0.999108,0.000001766569,0.000421507,0.00001923903,0.0004213323,0.00000288182,3.935424e-7,0.0000221693,0.000002774501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.151205,"threshold_uncertainty_score":0.3497172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005936199899769543,"score_gpt":0.2176224620599345,"score_spread":0.211686262160165,"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."}}