{"id":"W2980194729","doi":"10.1109/ccece.2019.8861874","title":"Measurement-based Network Model Reduction Of Distribution Systems Using Two-port Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Phasor; Reduction (mathematics); Computer science; Power flow; Power (physics); Electric power system; Phasor measurement unit; System of measurement; Flow (mathematics); Point (geometry); Port (circuit theory); Network model; Control theory (sociology); Electronic engineering; Engineering; Mathematics; Data mining; Artificial intelligence","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":[0.0004447011,0.001090858,0.0009645696,0.0004549686,0.0003847849,0.0007855132,0.001060303,0.0005404907,0.001865895],"category_scores_gemma":[0.001411794,0.0005713024,0.0009662129,0.0004542661,0.000487603,0.001484537,0.0007302061,0.001505642,0.0004399194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007653718,"about_ca_system_score_gemma":0.0007832701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006596102,"about_ca_topic_score_gemma":0.00707409,"domain_scores_codex":[0.9995621,0.0001737082,0.00001588207,0.00006939549,0.0001507163,0.00002821363],"domain_scores_gemma":[0.9995208,0.0002384226,0.00005680733,0.00007476466,0.00009372529,0.0000153983],"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":[0.00001393665,0.00001622696,0.0001399288,0.00002226286,0.00001154206,0.00003637938,0.00002058272,0.9865188,0.001292772,0.004063344,0.0002326426,0.007631619],"study_design_scores_gemma":[0.000002044909,0.000004761721,0.00002812071,0.000001070727,0.000001548556,0.00000538523,0.000002002565,0.9981655,0.0002287197,0.001253301,0.0003055444,0.000002060293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004913593,0.00004302949,0.9932238,0.00005058363,0.00001353554,0.00002163259,0.00004683046,0.000244269,0.001442714],"genre_scores_gemma":[0.6372646,0.0003951913,0.3548787,0.00007245849,0.00005951673,0.0004177949,0.0005859113,0.0003596144,0.005966219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006596102,"threshold_uncertainty_score":0.01311541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932461568090818,"score_gpt":0.2175336913030874,"score_spread":0.1982090756221792,"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."}}