{"id":"W4361995010","doi":"10.1007/978-3-031-30122-3_17","title":"Defense Models for Data Recovery in Industrial Control Systems","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer security; Automaton; Industrial control system; Language change; Work (physics); Control (management); Risk analysis (engineering); Artificial intelligence; Business; 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":[0.0007881239,0.0008358597,0.0008062914,0.0004700515,0.0004837799,0.00168023,0.001158944,0.001306861,0.007089121],"category_scores_gemma":[0.00211452,0.0003832392,0.0007747303,0.0006367062,0.0009173995,0.002073665,0.0009668349,0.002320458,0.0009988105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430757,"about_ca_system_score_gemma":0.0008049553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016984,"about_ca_topic_score_gemma":0.002969947,"domain_scores_codex":[0.9996426,0.0001332435,0.00001917531,0.00005182645,0.00009427319,0.00005884031],"domain_scores_gemma":[0.9993591,0.0004014191,0.00005150852,0.00006692737,0.00009466722,0.0000264682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003281004,0.00003217666,0.0001281075,0.00008791724,0.00002011017,0.00005576398,0.00008934783,0.4231895,0.0006658047,0.5514755,0.005074367,0.01914861],"study_design_scores_gemma":[0.000005227702,0.00001281329,0.00004275273,0.00001678299,0.000006522219,0.00001479661,0.00001867119,0.8035183,0.0001419465,0.1930671,0.003148817,0.000006225469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008909499,0.002278504,0.9563258,0.001553344,0.0002644249,0.0000346197,0.0001572165,0.0003229491,0.03015362],"genre_scores_gemma":[0.8525019,0.004283967,0.07955031,0.0005318713,0.0004362041,0.0002021613,0.0004310469,0.0002797603,0.06178279],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007089121,"threshold_uncertainty_score":0.02371544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0591159600742843,"score_gpt":0.2403173908939618,"score_spread":0.1812014308196775,"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."}}