{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000174972,0.00003924665,0.00004594267,0.0001061791,0.00003173687,0.00002103819,0.0001404973,0.0000274777,0.000004699788],"category_scores_gemma":[0.00002806885,0.00003881638,0.000007317611,0.0005359729,0.00001380658,0.0001581806,0.0001065295,0.00005609304,0.00002946316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002242117,"about_ca_system_score_gemma":0.000007224565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002121617,"about_ca_topic_score_gemma":0.00002678952,"domain_scores_codex":[0.9995592,0.00001783023,0.00008863801,0.0001805842,0.00006512299,0.00008860249],"domain_scores_gemma":[0.9997075,0.00003401807,0.00001755775,0.0002034011,0.00001564252,0.00002186177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001729502,0.00004589095,0.002226221,0.00003505504,0.000003813362,0.00001931427,0.00180764,0.000197671,0.008316518,0.352957,0.001910445,0.6324631],"study_design_scores_gemma":[0.0007114424,0.0001501562,0.1073717,0.0000384763,0.000001500519,0.00002922961,0.0002667304,0.284706,0.161374,0.3713626,0.07340777,0.0005804568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03020429,0.00001526149,0.9643006,0.0007354228,0.00006535469,0.0001296911,5.708831e-7,0.00140106,0.003147763],"genre_scores_gemma":[0.9704211,0.00007115904,0.02920596,0.00009491547,0.000008460529,0.00002009086,8.688432e-7,0.000002964638,0.0001744386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9402168,"threshold_uncertainty_score":0.1582886,"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."}}