{"id":"W4385411936","doi":"10.1109/smacd58065.2023.10192237","title":"Uniformity Adjustment of Delay-Based Physical Unclonable Function: Modeling and Analysis","year":2023,"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":"Carleton University; University of Windsor","funders":"","keywords":"Physical unclonable function; Computer science; Entropy (arrow of time); CMOS; Electronic engineering; Point (geometry); Computer engineering; Hardware security module; Cryptography; Embedded system; Algorithm; Engineering; 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":[0.0002174946,0.0001570501,0.0003244934,0.0003345892,0.0001701276,0.0000516344,0.0002988176,0.00004790716,0.00002803501],"category_scores_gemma":[0.00001710444,0.0001317603,0.000217973,0.003273155,0.00004878365,0.0004197656,0.0002448085,0.0001201301,0.00004514519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003812063,"about_ca_system_score_gemma":0.0000929515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001975751,"about_ca_topic_score_gemma":0.00003923148,"domain_scores_codex":[0.9986007,0.00004499096,0.0002229792,0.00044355,0.0003908988,0.0002969077],"domain_scores_gemma":[0.9989769,0.0001054292,0.00005915947,0.0005387253,0.000180985,0.0001387892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006491324,0.0008541544,0.001716342,0.00009506173,0.0007370132,0.00001013678,0.0003500915,0.5415999,0.0005370628,0.4379958,0.001058257,0.01498121],"study_design_scores_gemma":[0.0002692048,0.0001487994,0.002536312,0.000004885705,0.0001837812,5.344863e-7,0.00003550428,0.9754821,0.0003601455,0.02046991,0.000360457,0.0001483731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2307122,0.00003155151,0.7667691,0.0002703572,0.0001237316,0.00009993156,0.00001033992,0.0003139294,0.001668859],"genre_scores_gemma":[0.9960092,0.00001099658,0.003420694,0.0001377346,0.00007574195,0.00001904578,0.00003149258,0.000006192552,0.0002888535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7652971,"threshold_uncertainty_score":0.5373029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844966695899341,"score_gpt":0.2433089090101407,"score_spread":0.2248592420511473,"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."}}