{"id":"W4312841610","doi":"10.1109/iotm.001.2100130","title":"Evolution and Trends in Artificial Intelligence of Things Security: When Good Enough is Not Good Enough!","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Royal Military College of Canada","funders":"","keywords":"Computer security; Computer science; Scope (computer science); Countermeasure; Internet of Things; Government (linguistics); Cloud computing security; Big data; Cloud computing; 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":[0.00351918,0.0005244356,0.0004524691,0.00208832,0.001438509,0.006485568,0.0007746525,0.004055958,0.003907491],"category_scores_gemma":[0.005558189,0.0003204293,0.0005014577,0.0022666,0.00583941,0.01544665,0.002028038,0.007297018,0.001405256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080065,"about_ca_system_score_gemma":0.001948925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369979,"about_ca_topic_score_gemma":0.0019943,"domain_scores_codex":[0.9982008,0.0004977038,0.0001341349,0.0002760337,0.0007102465,0.0001810838],"domain_scores_gemma":[0.994832,0.002333162,0.0003466512,0.000394865,0.001445633,0.0006476325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001056027,0.0001196703,0.0056076,0.0009125618,0.00006903513,0.0004351939,0.002648453,0.00127598,0.002698509,0.5579462,0.1106175,0.3175637],"study_design_scores_gemma":[0.000009798497,0.0001018537,0.003314173,0.0007881299,0.00002211164,0.0007193481,0.002372829,0.001659394,0.0007262127,0.2375344,0.7526901,0.00006158611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01863542,0.3252071,0.03225954,0.5079332,0.01502465,0.00007507917,0.0004279778,0.0004838463,0.09995322],"genre_scores_gemma":[0.2870319,0.493289,0.05147736,0.1116772,0.01611453,0.0001996331,0.0006877601,0.0003802844,0.0391424],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006485568,"threshold_uncertainty_score":0.01861143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826832764298944,"score_gpt":0.2410349826353406,"score_spread":0.2227666549923512,"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."}}