{"id":"W7124292464","doi":"10.23977/jaip.2025.080407","title":"Application of Artificial Intelligence Technology in Network Security Protection of Power Enterprise","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversarial system; Enterprise private network; Information security; Applications of artificial intelligence; Network security; Core (optical fiber); Information technology; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001420606,0.0003664647,0.0002806949,0.001076727,0.0007535327,0.002736454,0.0006993718,0.00106696,0.001017092],"category_scores_gemma":[0.003351494,0.0001687029,0.0003562275,0.001020193,0.001641304,0.002915312,0.001362938,0.001259817,0.0002134109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114653,"about_ca_system_score_gemma":0.0009423497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008222512,"about_ca_topic_score_gemma":0.0007173943,"domain_scores_codex":[0.9988376,0.0004975803,0.00007021282,0.0001373947,0.0003833678,0.00007369322],"domain_scores_gemma":[0.9982797,0.001089212,0.0001685337,0.0002028417,0.000219763,0.00004001079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000551932,0.0001133293,0.005747499,0.0005354441,0.0001102358,0.0007325595,0.0009309439,0.08553269,0.006053749,0.5499004,0.005974411,0.3443135],"study_design_scores_gemma":[0.00001517245,0.0001324474,0.002643818,0.0004416243,0.00006294913,0.0005264528,0.0008762084,0.3811229,0.01026448,0.5282995,0.07556329,0.00005122881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05763586,0.01496168,0.7919862,0.01726604,0.0005985173,0.0001583648,0.0000849144,0.000455627,0.1168528],"genre_scores_gemma":[0.8654273,0.01271291,0.1144194,0.001091958,0.0004047734,0.00009041945,0.00006712024,0.00003713264,0.005749063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002736454,"threshold_uncertainty_score":0.008087397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446949868348265,"score_gpt":0.3437448550417976,"score_spread":0.309275356358315,"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."}}