{"id":"W2960445241","doi":"10.1109/mitp.2019.2906442","title":"Security and Vulnerability of Extreme Automation Systems: The IoMT and IoA Case Studies","year":2019,"lang":"en","type":"article","venue":"IT Professional","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"The Internet; Computer security; Vulnerability (computing); Aviation; Digitization; Computer science; Emerging technologies; Telecommunications; Health care; Risk analysis (engineering); Internet privacy; Business; Engineering; World Wide Web; Economics","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":[0.001004381,0.00008104613,0.0001499215,0.00003174393,0.0002264995,0.00003893464,0.000147186,0.00004187802,0.000001183059],"category_scores_gemma":[0.00007599967,0.00004856931,0.00001784271,0.0001051057,0.00008115482,0.0002243143,0.0004205153,0.0001226541,0.000003721284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001770508,"about_ca_system_score_gemma":0.00004592407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002717307,"about_ca_topic_score_gemma":0.000002725821,"domain_scores_codex":[0.9990481,0.0002163955,0.0002113376,0.0002163871,0.0001843423,0.0001234077],"domain_scores_gemma":[0.9990348,0.0004678291,0.0001118264,0.0002358712,0.0001194553,0.00003027932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001448074,0.0008912767,0.4527991,0.008127109,0.0005508994,0.0004549601,0.2583953,0.0003163216,0.005405129,0.09921122,0.08204585,0.09165809],"study_design_scores_gemma":[0.001299739,0.0002042568,0.06899417,0.001063172,0.00003002569,0.001670066,0.006707848,0.9023387,0.0005322782,0.01385945,0.002799929,0.000500366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920847,0.000999047,0.0008041252,0.000992275,0.004653025,0.0002520553,5.266268e-7,0.0000473454,0.0001668473],"genre_scores_gemma":[0.9991563,0.000005758599,0.0004384606,0.00006668374,0.0001964488,0.000007227619,4.477106e-7,0.000002405043,0.0001262957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9020224,"threshold_uncertainty_score":0.1980599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761710793362653,"score_gpt":0.3268675901686736,"score_spread":0.279250482235047,"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."}}