{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002366438,0.0004227994,0.0003233745,0.0004958201,0.0003170384,0.0003398393,0.0005524752,0.0004261447,0.0008743153],"category_scores_gemma":[0.001041601,0.0001439328,0.0003336043,0.0002966566,0.0003942632,0.0005759954,0.0004268544,0.0004082834,0.00009671027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774516,"about_ca_system_score_gemma":0.0003593128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006812133,"about_ca_topic_score_gemma":0.0008406739,"domain_scores_codex":[0.9997718,0.00003777763,0.00001094428,0.00005439802,0.00008734912,0.0000377055],"domain_scores_gemma":[0.9997047,0.0001269429,0.00003373004,0.00004899662,0.00007097016,0.00001457933],"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":[0.0003224476,0.0001988716,0.01007208,0.0001831225,0.00008806522,0.0007208794,0.0003077101,0.2775623,0.2370229,0.03698742,0.0008124717,0.4357218],"study_design_scores_gemma":[0.00004916465,0.0004180998,0.002381633,0.00001789073,0.00006396808,0.0006213125,0.00006360916,0.9129895,0.0674451,0.01291104,0.003001597,0.0000371208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3262148,0.0001386502,0.6690749,0.0001201194,0.00003254094,0.00008015241,0.00004891304,0.000608159,0.003681744],"genre_scores_gemma":[0.8478229,0.00005820629,0.1502903,0.00005279389,0.000004348034,0.00006638777,0.00006651718,0.00003863342,0.001600008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008743153,"threshold_uncertainty_score":0.00292486,"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."}}