{"id":"W2058728412","doi":"10.1109/pes.2008.4596770","title":"Performance of Today's Intelligent Controllers and Meters, Elements of an Integrated Monitoring System for ADA","year":2008,"lang":"en","type":"article","venue":"","topic":"Power Systems and Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Systems engineering; Computer science; Quality (philosophy); Product (mathematics); Intelligent Network; Intelligent sensor; Embedded system; Engineering; Wireless sensor network; Telecommunications; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009323836,0.00008715507,0.000231746,0.00008117712,0.00002095844,0.000003187974,0.00008831042,0.00004816593,0.000001424482],"category_scores_gemma":[0.00000860381,0.00006857641,0.00002743168,0.00006826953,0.0000262516,0.00008402369,0.00001393603,0.00003569598,2.709989e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003383307,"about_ca_system_score_gemma":0.000005839677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000604966,"about_ca_topic_score_gemma":0.000004634021,"domain_scores_codex":[0.9994455,0.000004914887,0.0002892071,0.00007587861,0.00006893111,0.0001155556],"domain_scores_gemma":[0.999734,0.00002107346,0.0000480318,0.0001267202,0.00004710036,0.00002300452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007056724,0.0002600281,0.334748,0.01163143,0.002694424,0.00002136134,0.004359195,0.02492168,0.3489986,0.002527424,0.0009784567,0.2681538],"study_design_scores_gemma":[0.0007974607,0.0003974618,0.002133872,0.0002758324,0.00002025013,0.00001114644,0.003684708,0.1266467,0.8652238,0.000002056952,0.0006574591,0.0001493143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932698,0.0003296844,0.00537713,0.000001379438,0.0002712634,0.0002333257,0.00001021709,0.000180608,0.000326583],"genre_scores_gemma":[0.9956374,0.0001089363,0.004169999,3.054244e-7,0.00001005007,0.00002697151,0.000001557545,0.00001023513,0.0000345487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5162252,"threshold_uncertainty_score":0.2796465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814205886359568,"score_gpt":0.2135429438343075,"score_spread":0.1954008849707118,"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."}}