{"id":"W4402716353","doi":"10.1109/mwscas60917.2024.10658776","title":"New Resource Efficient Multi-PUF Techniques","year":2024,"lang":"en","type":"article","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Resource (disambiguation); Computer architecture; Computer network","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":[0.0001582278,0.0001335861,0.0001178987,0.0001297261,0.0001098269,0.0003482959,0.0005800124,0.00005489577,0.0001118308],"category_scores_gemma":[0.000020479,0.000104271,0.0001100427,0.0007113998,0.00002476523,0.0002233567,0.0003216969,0.0001990242,0.000566635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005615511,"about_ca_system_score_gemma":0.0001200716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000126296,"about_ca_topic_score_gemma":0.00001127874,"domain_scores_codex":[0.9988496,0.0000298471,0.000147197,0.0004634272,0.0002436587,0.000266236],"domain_scores_gemma":[0.9992036,0.00007804506,0.00001413784,0.0005073706,0.00003620443,0.0001606243],"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":[0.000002801579,0.000125671,0.000005197095,0.00002564768,0.00001838856,0.00003390848,0.0004508272,0.00008148549,0.001434394,0.6167881,0.1235617,0.2574719],"study_design_scores_gemma":[0.00007912326,0.00006481211,0.00008290774,0.0000431376,0.000006239828,0.00001234633,0.00001316727,0.1537084,0.01353067,0.00553741,0.8267164,0.0002054544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002728722,0.0003046177,0.954769,0.001842949,0.0003523126,0.0001306336,0.000001931145,0.00222285,0.04010279],"genre_scores_gemma":[0.4460205,0.00002398249,0.4997156,0.001809754,0.00102194,0.00004836445,0.000008874361,0.00004157891,0.05130942],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7031547,"threshold_uncertainty_score":0.7283136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334780235213047,"score_gpt":0.2524035932631915,"score_spread":0.2390557909110611,"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."}}