{"id":"W4309791565","doi":"10.1007/978-3-031-16237-4_6","title":"Secure Design of Cyber-Physical Systems at the Radio Frequency Level: Machine and Deep Learning-Driven Approaches, Challenges and Opportunities","year":2022,"lang":"en","type":"book-chapter","venue":"Engineering cyber-physical systems and critical infrastructures","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Research Foundation; University of Ottawa","funders":"","keywords":"Software deployment; Transmitter; Computer security; Wireless; Wireless network; Cyber-physical system; Computer science; Engineering; Telecommunications; Channel (broadcasting)","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":[0.0005167765,0.0006504091,0.0006043878,0.0002691469,0.0002387579,0.002103473,0.0008611591,0.0009232576,0.003292142],"category_scores_gemma":[0.0009679792,0.0005700981,0.0004333561,0.000395391,0.0013902,0.001977048,0.00084892,0.002414373,0.001280025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844908,"about_ca_system_score_gemma":0.001019944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020287,"about_ca_topic_score_gemma":0.001385739,"domain_scores_codex":[0.9997128,0.00004602255,0.0000121109,0.00003670008,0.0001656988,0.00002669104],"domain_scores_gemma":[0.999508,0.0002726922,0.00003475268,0.00008406656,0.00007701091,0.00002348893],"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":[0.00004182602,0.00004915899,0.0003690407,0.0006070104,0.00007654409,0.00007544187,0.0001235658,0.3171671,0.007935403,0.448236,0.01244314,0.2128758],"study_design_scores_gemma":[0.00000964287,0.00005145761,0.0002287976,0.000160903,0.00002298808,0.00007701326,0.00003827369,0.471991,0.004430518,0.4602619,0.06270789,0.00001951524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006300309,0.02276072,0.9220063,0.004017876,0.0005290196,0.00003402961,0.0001252008,0.0004693989,0.04375714],"genre_scores_gemma":[0.4538324,0.06583311,0.3973567,0.001345634,0.001500049,0.0001884906,0.0004644062,0.0005820011,0.07889717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003292142,"threshold_uncertainty_score":0.01101333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03994410371430129,"score_gpt":0.2123409682382798,"score_spread":0.1723968645239785,"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."}}