{"id":"W3042547480","doi":"10.1109/jestpe.2020.3008885","title":"A Novel Stochastic Predictive Stabilizer for DC Microgrids Feeding CPLs","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); Stabilizer (aeronautics); Computer science; Engineering; Artificial intelligence; Mechanical engineering","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":[0.0002277552,0.0005753104,0.0004344837,0.0002314308,0.0004058937,0.0004881486,0.0008530921,0.0003792931,0.001248697],"category_scores_gemma":[0.0003523427,0.0001584944,0.0003145216,0.0002110373,0.0003645955,0.0003741238,0.0005420237,0.0006020821,0.0002887198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002961575,"about_ca_system_score_gemma":0.0004868855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718067,"about_ca_topic_score_gemma":0.00271222,"domain_scores_codex":[0.9998324,0.00002366327,0.00001008956,0.00004903345,0.00007038717,0.00001427543],"domain_scores_gemma":[0.9998777,0.00002233881,0.00003165184,0.00001615799,0.00004446787,0.000007672013],"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":[0.0001979461,0.00007014918,0.0008906611,0.0003944291,0.00009131396,0.0003585511,0.0001736648,0.7334892,0.04930892,0.02292558,0.003479092,0.1886206],"study_design_scores_gemma":[0.00001462698,0.00008893009,0.0001594953,0.000009168756,0.00001304422,0.00003857876,0.000007368132,0.9930469,0.003481435,0.000830875,0.002300803,0.000008696166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01293408,0.0003172796,0.9825764,0.0001171792,0.0001035563,0.00003551996,0.00004147479,0.0006447731,0.003229854],"genre_scores_gemma":[0.9251258,0.0004230038,0.07014424,0.0001258985,0.000109909,0.0001198614,0.0001144672,0.00004136214,0.00379543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002718067,"threshold_uncertainty_score":0.005404532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008003995576768414,"score_gpt":0.2156440006698944,"score_spread":0.207640005093126,"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."}}