{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00255238,0.0003860086,0.0004715197,0.0008158995,0.0009055134,0.001430697,0.000761113,0.0007340047,0.002083534],"category_scores_gemma":[0.004377442,0.0001456247,0.0005350622,0.0003822833,0.0009028199,0.001776332,0.001041143,0.0005946618,0.0001312578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002804701,"about_ca_system_score_gemma":0.001051999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006626565,"about_ca_topic_score_gemma":0.003725868,"domain_scores_codex":[0.9987588,0.0005510664,0.00005731101,0.0001841752,0.0002857631,0.0001629152],"domain_scores_gemma":[0.9975874,0.001346731,0.0002391988,0.0002244387,0.0004840808,0.0001180762],"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":[0.0004512845,0.000268116,0.00446081,0.00007105139,0.00007100682,0.0002061567,0.0003147942,0.9126853,0.002250306,0.01829783,0.0004206906,0.06050272],"study_design_scores_gemma":[0.000006173595,0.00006502814,0.0004214935,0.000004326864,0.000007615422,0.000014536,0.00004905769,0.9948715,0.0008980292,0.003524827,0.000132401,0.000005017613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6057225,0.0003020116,0.3808556,0.0007757285,0.0000451476,0.0001728687,0.00008135453,0.0004698704,0.0115749],"genre_scores_gemma":[0.991638,0.00002612225,0.00769695,0.00001843444,0.000002847172,0.00001831276,0.00001103897,0.000002950483,0.0005853222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006626565,"threshold_uncertainty_score":0.02034962,"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."}}