{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004851929,0.0003888355,0.0009030354,0.001497134,0.0002249323,0.0001634947,0.002325753,0.0005397087,0.000047667],"category_scores_gemma":[0.003710786,0.0004020598,0.0002864661,0.007077875,0.0007079478,0.002065593,0.0006345799,0.00166496,0.00004430849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002715473,"about_ca_system_score_gemma":0.0009794607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003022175,"about_ca_topic_score_gemma":0.0001470296,"domain_scores_codex":[0.9927506,0.0005820169,0.004522915,0.000704786,0.0008538705,0.0005857801],"domain_scores_gemma":[0.9895805,0.001075203,0.00518998,0.001201065,0.002816181,0.0001370627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001028601,0.002496295,0.0002060908,0.0001199989,0.000124957,0.00001586237,0.001989267,0.007889047,0.01153468,0.3444514,0.00007172265,0.6300721],"study_design_scores_gemma":[0.00005955909,0.001253474,0.0001299543,0.0008536977,0.000239363,0.00013073,0.005336192,0.2465454,0.2189136,0.5215214,0.004618603,0.0003979484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0104922,0.001217759,0.9733264,0.01202641,0.001372857,0.001115958,0.00001595662,0.00002333363,0.0004091398],"genre_scores_gemma":[0.9681107,0.000891867,0.03053731,0.0001538743,0.0002330811,0.00004567835,0.000001975127,0.00001545878,0.00001000125],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9576185,"threshold_uncertainty_score":0.9998431,"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."}}