{"id":"W1633610497","doi":"10.1109/pesgm.2015.7285796","title":"Sensitivity factors for distribution systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sensitivity (control systems); Control reconfiguration; Computer science; Control theory (sociology); Distribution (mathematics); Distributed generation; Topology (electrical circuits); Voltage; Capacitor; Mathematical optimization; Node (physics); Current (fluid); Set (abstract data type); Power (physics); Electronic engineering; Mathematics; Electrical engineering; Engineering; Physics","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":[0.002295694,0.001516217,0.0007028778,0.002184831,0.0005258985,0.001475329,0.0006768271,0.0008089576,0.01193748],"category_scores_gemma":[0.01188616,0.0004504073,0.001194328,0.001146985,0.0007476193,0.002049857,0.0008698044,0.001813319,0.00128964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545199,"about_ca_system_score_gemma":0.0007829932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003897354,"about_ca_topic_score_gemma":0.001848223,"domain_scores_codex":[0.9983437,0.0005143462,0.00008487776,0.000246733,0.0006840558,0.0001263188],"domain_scores_gemma":[0.9962556,0.002627315,0.0002544185,0.0002148543,0.0005990127,0.00004881575],"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":[0.0000336143,0.00003594223,0.0006621013,0.0002219602,0.00006336396,0.0002259957,0.0001293184,0.6694446,0.004059126,0.2596423,0.005478615,0.06000302],"study_design_scores_gemma":[0.00001110621,0.00005218112,0.000620386,0.00006304649,0.00002697992,0.0002351401,0.00004462018,0.7251517,0.001893249,0.2553165,0.01653837,0.0000466957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006893983,0.001103037,0.9602054,0.0003655313,0.0001094262,0.0001339758,0.0004243472,0.0003263161,0.030438],"genre_scores_gemma":[0.7665765,0.003953086,0.2057718,0.0005068058,0.000436073,0.0006748603,0.000969873,0.0004171724,0.02069388],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01193748,"threshold_uncertainty_score":0.03993481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594525401015475,"score_gpt":0.2309563147653083,"score_spread":0.2050110607551536,"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."}}