{"id":"W4380681890","doi":"10.23977/jaip.2023.060404","title":"Security Impact of Federated and Transfer Learning on Network Management Systems with Fuzzy DEMATEL Approach","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Situation awareness; Computer security; Cloud computing; Field (mathematics); Fuzzy logic; Security management; Transfer of learning; Artificial intelligence; Machine learning; Knowledge management; Data science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.002986972,0.0001849164,0.0003442743,0.0002935511,0.0001945088,0.0003916302,0.003607652,0.000100475,0.000002576555],"category_scores_gemma":[0.004584841,0.0001356391,0.00007562833,0.001405326,0.0001052211,0.001360175,0.002541962,0.0007231437,0.00001321153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008153291,"about_ca_system_score_gemma":0.00008895541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005956213,"about_ca_topic_score_gemma":0.000002405733,"domain_scores_codex":[0.9976784,0.0003489567,0.000694486,0.0003037279,0.0006164292,0.0003579936],"domain_scores_gemma":[0.9971576,0.0008409828,0.0005263723,0.001022688,0.0003589336,0.00009337538],"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":[0.002234502,0.0009587076,0.001052108,0.0004659231,0.001583622,0.001115053,0.002319595,0.8098292,0.0007503434,0.07794958,0.01220734,0.08953407],"study_design_scores_gemma":[0.0001529968,0.002400623,0.0004291959,0.0005061344,0.0001257761,0.0007606989,0.004715947,0.9368011,0.002516861,0.05073141,0.0004877367,0.000371498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1295274,0.0002988041,0.864198,0.002814946,0.0003611309,0.0003307948,0.000002825595,0.0002073182,0.002258807],"genre_scores_gemma":[0.9585893,0.0006369518,0.04064533,0.00002471751,0.00007470157,0.000004889437,0.00000136261,0.00001394569,0.0000088205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8290619,"threshold_uncertainty_score":0.6703975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578080649621586,"score_gpt":0.3298492900116429,"score_spread":0.2720412250494844,"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."}}