{"id":"W4392153062","doi":"10.1109/globecom54140.2023.10437563","title":"Soft Voting for Anomaly Detection in Internet of Medical Things","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anomaly detection; Voting; Computer science; Anomaly (physics); Internet privacy; Internet of Things; The Internet; Computer security; World Wide Web; Artificial intelligence; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004802292,0.0007710647,0.001525347,0.002278394,0.0008298406,0.00147012,0.001818102,0.00119294,0.001088711],"category_scores_gemma":[0.01140735,0.0002852412,0.0009395414,0.001239444,0.001117994,0.002063876,0.001575952,0.00159147,0.0004302914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009444463,"about_ca_system_score_gemma":0.0007535018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368964,"about_ca_topic_score_gemma":0.001480059,"domain_scores_codex":[0.9948089,0.001763093,0.0003394297,0.0009498001,0.001664741,0.0004739585],"domain_scores_gemma":[0.9938934,0.003247841,0.0007749899,0.0006893314,0.001174103,0.0002201934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001148699,0.0006220494,0.04332799,0.0002721135,0.0005092,0.0003909474,0.0002563414,0.2494679,0.02781479,0.01796081,0.005208693,0.6530205],"study_design_scores_gemma":[0.00001919901,0.0001447403,0.00325712,0.00001621831,0.00003169526,0.0001723834,0.0000562572,0.9736351,0.008397661,0.01317505,0.001070861,0.00002380061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09817813,0.000578251,0.8967834,0.0006385761,0.0002639455,0.0001067152,0.000113143,0.001392557,0.001945305],"genre_scores_gemma":[0.9169157,0.0001071186,0.08143405,0.0002521565,0.0001094732,0.000052594,0.0001925512,0.00005011606,0.000886253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004802292,"threshold_uncertainty_score":0.02539724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747056464283464,"score_gpt":0.2592008370436615,"score_spread":0.2417302724008268,"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."}}