{"id":"W240493","doi":"10.1139/y75-089","title":"An examination of the security implications of the supervisory control and data acquisition (SCADA) system in a mobile networked environment: An augmented vulnerability tree approach.","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SCADA; Computer security; Supervisory control; Vulnerability (computing); The Internet; Computer science; Critical infrastructure; Risk analysis (engineering); Control (management); Engineering; Business; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001476853,0.0001575735,0.00008956849,0.0003607001,0.0002462422,0.0003245599,0.0001647252,0.0002359256,0.0007139372],"category_scores_gemma":[0.0004245307,0.00006383036,0.0001471367,0.0002721914,0.0002903405,0.0004844793,0.0001537941,0.0001711103,0.00006681425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095882,"about_ca_system_score_gemma":0.0002974456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803739,"about_ca_topic_score_gemma":0.005136445,"domain_scores_codex":[0.9999416,0.00001882426,0.000001439535,0.000005824499,0.00002221438,0.0000101615],"domain_scores_gemma":[0.9998106,0.00009430396,0.000036654,0.00001397301,0.00003366567,0.00001078474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001180161,0.0003547107,0.07271005,0.0004472475,0.0001705547,0.004168565,0.000928424,0.2745511,0.3501628,0.0475824,0.001502614,0.2462415],"study_design_scores_gemma":[0.00002433929,0.001181976,0.084118,0.0000424428,0.0001426614,0.001052102,0.0007310782,0.8676568,0.02746651,0.01391893,0.003636864,0.0000284289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576378,0.0004673609,0.03769783,0.0001514972,0.00001115228,0.00001988802,0.00006511305,0.00007696191,0.003872454],"genre_scores_gemma":[0.990157,0.0003842878,0.008890991,0.000007334047,0.000005451396,0.000006611569,0.00003028252,0.000003451497,0.0005146021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002803739,"threshold_uncertainty_score":0.005574822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347324328845907,"score_gpt":0.2439607248045982,"score_spread":0.2304874815161391,"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."}}