{"id":"W4387885630","doi":"10.1109/ticps.2023.3326773","title":"A Proactive Intrusion Detection and Mitigation System for Grid-Connected Photovoltaic Inverters","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Photovoltaic system; Grid; Computer science; Intrusion detection system; Electric power system; Grid-connected photovoltaic power system; Identification (biology); Maximum power point tracking; Power (physics); Real-time computing; Reliability engineering; Distributed computing; Voltage; Engineering; Electrical engineering; Computer security; Inverter","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":[0.0001754194,0.0002438542,0.0003284188,0.0002504435,0.0003406935,0.00009072083,0.00009296045,0.0002967974,0.000001342262],"category_scores_gemma":[0.00001628765,0.0002301197,0.0001217304,0.0007761653,0.00006608857,0.0002393118,0.000001518021,0.0004107762,0.00004089461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002704999,"about_ca_system_score_gemma":0.00002716763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002814728,"about_ca_topic_score_gemma":0.00005757931,"domain_scores_codex":[0.9986528,0.00009942429,0.0003091226,0.000342571,0.0002653409,0.000330748],"domain_scores_gemma":[0.9992222,0.0003312891,0.00005903444,0.0001732704,0.00006575679,0.0001484345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007094504,0.0002124431,0.00002265664,0.000894651,0.0005397276,0.0000124079,0.003557551,0.319433,0.6225334,0.0001709972,0.001165942,0.05074769],"study_design_scores_gemma":[0.001482375,0.0002926148,0.00008028412,0.0002620652,0.00009246359,0.00001556537,0.001336632,0.7112867,0.2843091,0.00002245886,0.000499066,0.0003206431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117338,0.00001048307,0.07828461,0.00002252876,0.006911557,0.001742815,0.0001506941,0.001076142,0.00006733465],"genre_scores_gemma":[0.9979301,0.00000855228,0.000006432081,0.000004275793,0.001125218,0.0008263789,0.00001497698,0.00004299138,0.00004109358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3918537,"threshold_uncertainty_score":0.9384009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209464196235149,"score_gpt":0.2183123110992064,"score_spread":0.1973658914756915,"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."}}