{"id":"W3134032143","doi":"10.1109/mce.2021.3062800","title":"Consumer Electronic Devices: Evolution and Edge Security Solutions","year":2021,"lang":"en","type":"article","venue":"IEEE Consumer Electronics Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer security; Mobile device; Enhanced Data Rates for GSM Evolution; Authentication (law); The Internet; Edge device; Variety (cybernetics); Telecommunications; World Wide Web; Cloud computing","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":[0.0005408878,0.0003764649,0.000166923,0.0007902051,0.0004966356,0.002350525,0.0006359815,0.001706434,0.002232709],"category_scores_gemma":[0.000711305,0.0002817368,0.0002691443,0.0009675177,0.0007718844,0.00554161,0.00139979,0.002178981,0.0008869476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008453823,"about_ca_system_score_gemma":0.0004805143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006971353,"about_ca_topic_score_gemma":0.0007101112,"domain_scores_codex":[0.9995686,0.00007047311,0.00002708172,0.00006938734,0.0001945799,0.00006980255],"domain_scores_gemma":[0.9996585,0.00007277061,0.00003549676,0.0000568054,0.0001350572,0.00004148764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001136833,0.00009186547,0.002013812,0.0003250925,0.00001849939,0.0005513158,0.0007906689,0.002428266,0.01140866,0.5003594,0.0215244,0.4603744],"study_design_scores_gemma":[0.00001728637,0.0002252168,0.002675329,0.0006482347,0.00004337992,0.003395072,0.0009393545,0.02116744,0.01530072,0.09492858,0.8605962,0.00006313752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1214455,0.1086611,0.2965316,0.03146923,0.002738038,0.0002389336,0.0002303708,0.001325204,0.43736],"genre_scores_gemma":[0.6111883,0.1059182,0.1840404,0.009452457,0.001636614,0.0001218053,0.000404751,0.0002753747,0.0869621],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002350525,"threshold_uncertainty_score":0.007469118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299618006425829,"score_gpt":0.2352643775070757,"score_spread":0.2222681974428174,"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."}}