{"id":"W4389544180","doi":"10.1109/icsme58846.2023.00080","title":"Security and Safety Verification in IoT Apps","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Internet of Things; Computer science; Automotive industry; Computer security; Embedded system; Engineering","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":[0.006617389,0.001033413,0.0007553966,0.001385403,0.001022881,0.002896573,0.001877209,0.00173152,0.001449629],"category_scores_gemma":[0.02475118,0.0009250076,0.002429154,0.0003949194,0.003057097,0.003458901,0.003484438,0.002222117,0.0003465505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138318,"about_ca_system_score_gemma":0.003997969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950867,"about_ca_topic_score_gemma":0.001925855,"domain_scores_codex":[0.9895377,0.00325623,0.0006316305,0.001193163,0.004580838,0.0008004449],"domain_scores_gemma":[0.9829626,0.009390386,0.001252916,0.003697397,0.002469094,0.0002276394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006649928,0.0009023904,0.02268845,0.0009902946,0.0003137207,0.002978898,0.001765462,0.4645678,0.1048111,0.2828427,0.002994365,0.1144798],"study_design_scores_gemma":[0.00005636683,0.0001663319,0.0009162778,0.0001405017,0.00008345832,0.0003532818,0.0001669852,0.868881,0.05870839,0.06559162,0.004893761,0.00004192931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071692,0.0002252185,0.8841074,0.0007364466,0.0001108471,0.0005034347,0.0001972698,0.001876184,0.005074027],"genre_scores_gemma":[0.7604611,0.0002540334,0.235349,0.000302274,0.00004896297,0.0004363461,0.0002963577,0.0002973976,0.002554601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006617389,"threshold_uncertainty_score":0.03499651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009436357735982642,"score_gpt":0.255897245836948,"score_spread":0.2464608881009654,"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."}}