{"id":"W4392746546","doi":"10.1109/peeic59336.2023.10451324","title":"Graph Theory and Spectral Clustering in Multi-Objective Optimal Power Flow Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Cluster analysis; Power flow; Spectral clustering; Data-flow analysis; Graph theory; Spectral graph theory; Graph; Theoretical computer science; Power (physics); Mathematics; Artificial intelligence; Data flow diagram; Voltage graph; Line graph; Combinatorics; Electric power system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000450333,0.0001071292,0.0001763105,0.0004053217,0.00002856705,0.00003050497,0.00006587109,0.00005795638,0.0001265213],"category_scores_gemma":[0.00002001913,0.0001059088,0.00007651785,0.0009088132,0.00002615273,0.0001055225,0.00004360504,0.0001433079,0.00003093098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003021196,"about_ca_system_score_gemma":0.000004286861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002898372,"about_ca_topic_score_gemma":0.000485001,"domain_scores_codex":[0.9993344,0.00004233986,0.0001451308,0.0001548083,0.00007559291,0.0002477552],"domain_scores_gemma":[0.9997218,0.00008982832,0.00000781618,0.0001203784,0.000007911103,0.00005232804],"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":[0.0000514677,0.00003837163,0.005289994,0.00004535082,0.0008644168,0.00006905026,0.01117209,0.975713,0.001444797,0.003660738,0.0001428384,0.001507943],"study_design_scores_gemma":[0.0003849156,0.00001551411,0.1150304,0.00000739612,0.00006323199,0.000001823399,0.001645346,0.8810535,0.0009482055,0.000570808,0.00006150826,0.0002173484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804872,0.0001473296,0.1912048,0.00002807615,0.0001193983,0.00007813775,0.00001320052,0.0004240497,0.003112955],"genre_scores_gemma":[0.9961947,0.00009012988,0.00341235,0.00002898657,0.000008533041,0.000006302329,0.000006935685,0.00001494702,0.0002371381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1913227,"threshold_uncertainty_score":0.4318836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078482615007224,"score_gpt":0.2622961253259603,"score_spread":0.2415112991758881,"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."}}