{"id":"W2084319925","doi":"10.3182/20090712-4-tr-2008.00109","title":"Variability Matrix: A Novel Tool to Prioritize Loop Maintenance","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Loop (graph theory); Controller (irrigation); Metric (unit); Variance (accounting); Reduction (mathematics); Control engineering; Control theory (sociology); Control (management); Performance metric; Computer science; Engineering; Reliability engineering; Mathematics; Artificial intelligence; Operations management","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":[0.00164125,0.001213064,0.001071762,0.003316146,0.0004672572,0.001687172,0.001434778,0.0007015982,0.004558203],"category_scores_gemma":[0.009421726,0.00042539,0.0007225926,0.00177876,0.0003744954,0.001970743,0.001129616,0.001249389,0.0009273893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484588,"about_ca_system_score_gemma":0.001136025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837748,"about_ca_topic_score_gemma":0.002708629,"domain_scores_codex":[0.9987557,0.0001809256,0.00008772451,0.0002075595,0.0006859834,0.00008203396],"domain_scores_gemma":[0.9942263,0.003242616,0.0007854171,0.0005286031,0.0009711999,0.0002458978],"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":[0.001054097,0.0002318462,0.006606734,0.0003610605,0.0002136803,0.0003189436,0.0001709007,0.1663957,0.02284965,0.04122461,0.01450084,0.7460718],"study_design_scores_gemma":[0.00005616228,0.0001477182,0.001061381,0.00003225611,0.00005014474,0.0001759935,0.00002898675,0.9584162,0.007537811,0.02733305,0.005113488,0.00004683133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005550058,0.0000850556,0.9894441,0.00005859276,0.00005530727,0.00003392849,0.0003238957,0.003491757,0.0009572964],"genre_scores_gemma":[0.2616988,0.0001668215,0.7339242,0.0001066727,0.0001542279,0.0001722134,0.0009779739,0.0008648374,0.001934223],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004558203,"threshold_uncertainty_score":0.01524872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005735027443252917,"score_gpt":0.2193315799933312,"score_spread":0.2135965525500783,"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."}}