{"id":"W3163346008","doi":"10.1109/isqed51717.2021.9424335","title":"Reliable Strong PUF Enrollment and Operation with Temperature and Voltage Optimization","year":2021,"lang":"en","type":"article","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Arbiter; Reliability (semiconductor); Computer science; Reliability engineering; Process variation; Voltage; Process (computing); Authentication (law); Power (physics); Resource (disambiguation); Electronic engineering; Electrical engineering; Engineering; Computer hardware; Computer network; Computer security","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":[0.000501336,0.0004902425,0.0003385431,0.00028189,0.0003717519,0.0005045516,0.0006575502,0.0004364692,0.00277203],"category_scores_gemma":[0.002425498,0.000219691,0.0002260987,0.0002110542,0.0003720699,0.0014458,0.0006392837,0.0004752711,0.0008847972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854717,"about_ca_system_score_gemma":0.000521872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003883944,"about_ca_topic_score_gemma":0.0007743472,"domain_scores_codex":[0.999527,0.0000656046,0.00003040989,0.0001123518,0.0001516493,0.0001130289],"domain_scores_gemma":[0.9990043,0.0002856699,0.0001951035,0.0002360547,0.0002428869,0.0000359627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006567903,0.000166398,0.005555893,0.0002345786,0.00005418155,0.0004262011,0.0001804236,0.0814836,0.7790361,0.01001047,0.003196697,0.1189987],"study_design_scores_gemma":[0.00005880427,0.0009055684,0.002708975,0.00002702947,0.00005748827,0.0005285097,0.00007276027,0.4545374,0.5306995,0.003839085,0.006505074,0.00005975709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6132359,0.0009275232,0.3712339,0.0008961098,0.0001716402,0.0001777271,0.0002703833,0.004377461,0.008709274],"genre_scores_gemma":[0.9781938,0.00007072936,0.02028315,0.00004575118,0.0000192768,0.00003879817,0.00004803167,0.0001114562,0.001189211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00277203,"threshold_uncertainty_score":0.00927335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004825637359501851,"score_gpt":0.1889062517846807,"score_spread":0.1840806144251789,"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."}}