{"id":"W3137274258","doi":"10.1155/2021/6682674","title":"Hardware Trojan Detection Based on Ordered Mixed Feature GEP","year":2021,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"University of Electronic Science and Technology of China; Chengdu University; Chengdu University of Information Technology","keywords":"Trojan; Computer science; Feature (linguistics); Field (mathematics); Algorithm; Data mining; Artificial intelligence; Pattern recognition (psychology); Computer security; Mathematics","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":[0.0002811517,0.0002088203,0.0002349222,0.00007363287,0.000758766,0.0003205085,0.0006756898,0.0002101113,0.00002859321],"category_scores_gemma":[0.00007588118,0.0002149747,0.0001177423,0.0007729924,0.00008502761,0.0003990231,0.0003766477,0.0007688001,0.00001412053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005774436,"about_ca_system_score_gemma":0.00008326941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002879564,"about_ca_topic_score_gemma":0.0005993677,"domain_scores_codex":[0.9982753,0.0005022112,0.0002021816,0.0004714281,0.0002545858,0.0002942548],"domain_scores_gemma":[0.9975429,0.0002886966,0.0001096161,0.001638556,0.0002688195,0.0001514029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004175279,0.003278814,0.0007999596,0.0002107267,0.0002725584,0.00006606196,0.004066418,0.02541144,0.000726712,0.4420512,0.02989804,0.4928006],"study_design_scores_gemma":[0.0008588435,0.0001348394,0.002843172,0.00009034129,0.00002466191,0.00001533263,0.0001278591,0.8987508,0.0009203939,0.0211003,0.07475929,0.0003742014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02721277,0.006015301,0.9316574,0.01656593,0.001230549,0.0005992578,0.00003005985,0.0009884114,0.01570025],"genre_scores_gemma":[0.9950774,0.0005357789,0.002489881,0.001467075,0.0001234234,0.00004341284,0.0001227605,0.00001276967,0.0001274968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9678646,"threshold_uncertainty_score":0.8766414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007518391420553572,"score_gpt":0.2087011219747104,"score_spread":0.2011827305541568,"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."}}