{"id":"W4207072427","doi":"10.1109/gcwkshps52748.2021.9682118","title":"Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT)","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Globecom Workshops (GC Wkshps)","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; The Internet; Transfer of learning; World Wide Web; Transfer (computing); Multimedia; Artificial intelligence; Operating system","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":["metaresearch","metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001823763,0.000368789,0.0005314032,0.0001332354,0.0002934627,0.0005193432,0.02021496,0.0005436425,0.0005827716],"category_scores_gemma":[0.01676076,0.0002944958,0.0003135648,0.001232995,0.0003165336,0.0005243812,0.01126455,0.001158139,0.00004267316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123611,"about_ca_system_score_gemma":0.0006811812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001309349,"about_ca_topic_score_gemma":0.0001782306,"domain_scores_codex":[0.9960581,0.0003131407,0.0007256082,0.0009694572,0.001224563,0.0007091158],"domain_scores_gemma":[0.9928741,0.002152581,0.0001470917,0.004261172,0.0003985165,0.0001665447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001352036,0.000557446,0.0007300933,0.0002253857,0.000522448,0.0003483773,0.0006165206,0.001624599,0.001430145,0.00627248,0.7141823,0.273355],"study_design_scores_gemma":[0.00117774,0.0001046966,0.0001561503,0.0003193637,0.0000459398,0.00004197627,0.0002085085,0.9252316,0.03520871,0.006734272,0.0303697,0.0004013092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006377497,0.001206532,0.9050854,0.08469767,0.001497165,0.0003379548,0.00001865644,0.0004737445,0.0003053206],"genre_scores_gemma":[0.9233283,0.000482737,0.07178983,0.002902421,0.000254468,0.0001796628,0.0001039631,0.00007217828,0.0008864298],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9236071,"threshold_uncertainty_score":0.9999507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603334785979853,"score_gpt":0.2805997871885051,"score_spread":0.2545664393287066,"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."}}