{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005179086,0.0006218632,0.0005990189,0.001020141,0.0005763035,0.0006970284,0.001700744,0.0006291943,0.004939774],"category_scores_gemma":[0.00105094,0.0003153341,0.0006491359,0.0006760194,0.0004870756,0.002213914,0.001121502,0.0008524618,0.0008776272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006986876,"about_ca_system_score_gemma":0.0005202182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803941,"about_ca_topic_score_gemma":0.0006473137,"domain_scores_codex":[0.9993095,0.00009779671,0.00005181422,0.0001265396,0.0003268258,0.00008740604],"domain_scores_gemma":[0.9992266,0.0001878439,0.0001773224,0.0002284897,0.0001469203,0.00003284949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006521789,0.0001919415,0.001722968,0.0007377987,0.0001533445,0.0007166945,0.000274411,0.02942229,0.3485628,0.07287078,0.005883543,0.5388113],"study_design_scores_gemma":[0.00012231,0.001382244,0.001953826,0.0002321339,0.0002329098,0.005117634,0.0001617976,0.4339938,0.4396238,0.02182563,0.09519037,0.0001636395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0458831,0.004452873,0.9359238,0.00049132,0.0002126084,0.0001184451,0.0001124033,0.002676698,0.0101288],"genre_scores_gemma":[0.6586477,0.001888663,0.3244055,0.0003935333,0.0001137615,0.0001539763,0.0001476492,0.0001742825,0.01407498],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004939774,"threshold_uncertainty_score":0.01652515,"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."}}