{"id":"W4412712956","doi":"10.1109/rfcon62306.2025.11085272","title":"Enhancing IoT Device Classifiers using Machine Learning Techniques","year":2025,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Internet of Things; Artificial intelligence; Machine learning; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002230545,0.001244317,0.001077546,0.002064292,0.0004681792,0.001403122,0.00112141,0.001119142,0.00101404],"category_scores_gemma":[0.004275869,0.0002327399,0.0008652845,0.001406745,0.0002640681,0.001649864,0.0006707451,0.001273476,0.001653846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919546,"about_ca_system_score_gemma":0.0005776935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002915514,"about_ca_topic_score_gemma":0.003791931,"domain_scores_codex":[0.9990965,0.0002018579,0.00005826338,0.0001752128,0.00033317,0.0001350252],"domain_scores_gemma":[0.9985447,0.0006369508,0.0001338741,0.0001579393,0.0004855903,0.00004093971],"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":[0.000247868,0.0006358474,0.02530432,0.0001905647,0.0001406042,0.0002189468,0.00009696647,0.2258261,0.01149546,0.002673474,0.01095591,0.722214],"study_design_scores_gemma":[0.000008124225,0.00008237966,0.002763561,0.00002407744,0.00002374191,0.00007245367,0.00003466949,0.9882941,0.004449894,0.001844811,0.002389953,0.00001215228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2204925,0.002614991,0.760311,0.001079714,0.0007706875,0.0003177993,0.0008493621,0.004793627,0.00877037],"genre_scores_gemma":[0.8225017,0.0007537574,0.1709064,0.0003775084,0.0002798107,0.0001469071,0.00171989,0.00008339455,0.003230696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002915514,"threshold_uncertainty_score":0.01179636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858104663520107,"score_gpt":0.2938694865618314,"score_spread":0.2752884399266303,"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."}}