{"id":"W4317040114","doi":"10.1007/978-3-031-24185-7_3","title":"Privacy Breaches and Countermeasures at Terminal Device Layer","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Terminal (telecommunication); Computer security; Internet privacy; Layer (electronics); Computer science; Business; Computer network; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002393477,0.0005319673,0.0005952801,0.0001237108,0.0006377023,0.0002491398,0.001141109,0.0003130512,0.0004377427],"category_scores_gemma":[0.000006068725,0.0005272649,0.0002104289,0.0001028189,0.0001810461,0.0003985877,0.00201859,0.001002455,0.00007177589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002512788,"about_ca_system_score_gemma":0.000114943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007057036,"about_ca_topic_score_gemma":0.0001306601,"domain_scores_codex":[0.9974459,0.00006191411,0.0003674877,0.000998756,0.0006179628,0.0005079927],"domain_scores_gemma":[0.9981984,0.000198395,0.0002572493,0.001005627,0.000108894,0.0002314006],"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":[0.0001363164,0.0001827821,0.0002489683,0.0002533049,0.0003590143,0.0005228641,0.001035043,0.0008199052,0.00003261477,0.6446335,0.04628671,0.3054889],"study_design_scores_gemma":[0.0003373148,0.0001306298,0.0003822237,0.0001877526,0.00007967634,0.0001943416,0.000004537509,0.03139016,0.000008662036,0.007563115,0.9589354,0.0007861314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007297787,0.01564153,0.1090627,0.001458858,0.005880846,0.001837563,0.0002408327,0.001779282,0.8568006],"genre_scores_gemma":[0.7032314,0.002237788,0.0007858273,0.002020522,0.002910845,0.0001549979,0.000259584,0.0002078095,0.2881913],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9126487,"threshold_uncertainty_score":0.9997179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376611849758651,"score_gpt":0.2247698643605077,"score_spread":0.2010037458629212,"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."}}