{"id":"W4410989701","doi":"10.3390/en18112937","title":"Critical Node Identification for Cyber–Physical Power Distribution Systems Based on Complex Network Theory: A Real Case Study","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cyber-physical system; Network theory; Identification (biology); Complex network; Node (physics); Computer science; Electric power system; Power network; Power (physics); Engineering; Mathematics; Physics; Statistics","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":[0.0004383943,0.0001940602,0.0003211628,0.00006151061,0.0003835515,0.0002006328,0.0001654354,0.00003278911,0.00002515393],"category_scores_gemma":[0.00003050216,0.0001799412,0.0001842241,0.0003254314,0.00007915732,0.00007512275,0.0000575021,0.0001073828,0.000003931465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006802912,"about_ca_system_score_gemma":0.00003779492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005299858,"about_ca_topic_score_gemma":0.00002129886,"domain_scores_codex":[0.9985986,0.0002687889,0.0003159043,0.0003710373,0.0001644481,0.0002812046],"domain_scores_gemma":[0.9983178,0.000880114,0.00008757951,0.000494401,0.0001758122,0.00004430606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000971709,0.0008512171,0.004683076,0.00001568695,0.0001532113,0.00001261255,0.0001227242,0.06813188,0.0001205334,0.9100898,0.01431694,0.00140515],"study_design_scores_gemma":[0.001576266,0.0005007543,0.01284695,0.0001781784,0.0009021709,0.00000413624,0.006383867,0.8813778,0.0006125765,0.08698338,0.007828575,0.0008053905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5943162,0.0000211173,0.4010164,0.0001689726,0.0002753528,0.0007367902,0.0001730155,0.0002314708,0.003060719],"genre_scores_gemma":[0.9981189,2.444802e-7,0.000261029,0.00002615343,0.0004454939,0.0005224703,0.0004167462,0.00001678427,0.0001921862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8231064,"threshold_uncertainty_score":0.733779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523291341598889,"score_gpt":0.3285202872490714,"score_spread":0.3132873738330825,"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."}}