{"id":"W4417052180","doi":"10.1109/rfid-ta63091.2025.11265927","title":"RFID-Based Physical Unclonable Functions (PUFs) Enabled by Laser-Induced Graphene (LIG)","year":2025,"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":"","funders":"NextGenerationEU; Canadian University Press; Electrochemical Society","keywords":"Physical unclonable function; Cryptography; Scalability; Internet of Things; Hardware security module; Supply chain; Identification (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002547065,0.0004590714,0.0005266594,0.0003578506,0.0007915868,0.0003814088,0.001239005,0.0001646871,0.0001859748],"category_scores_gemma":[0.00009771361,0.0004113215,0.0004002661,0.003159473,0.0001079055,0.0008940494,0.0004052077,0.0004972699,0.0005236733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166278,"about_ca_system_score_gemma":0.0005217714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004836881,"about_ca_topic_score_gemma":0.0001032661,"domain_scores_codex":[0.9968596,0.0001602747,0.0004059895,0.001126111,0.0005826282,0.0008654635],"domain_scores_gemma":[0.9973834,0.000380015,0.0001036711,0.001454148,0.0003580376,0.0003207618],"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":[0.000118218,0.00541799,0.0005112101,0.0001208403,0.0003232272,0.00002652697,0.0001782468,0.0009591263,0.05058759,0.5034537,0.4181563,0.02014711],"study_design_scores_gemma":[0.004504609,0.0009825308,0.001076781,0.0001130383,0.0002197951,0.000005403166,0.0001607336,0.2520839,0.1956348,0.1003928,0.4430239,0.001801744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1733049,0.00009427948,0.7257138,0.007813552,0.00223562,0.0008236053,0.00009475142,0.00224956,0.08766989],"genre_scores_gemma":[0.9784733,0.000005368653,0.001971098,0.002584678,0.0002162171,0.0001855194,0.00008470479,0.00002394933,0.01645513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8051684,"threshold_uncertainty_score":0.9998339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007651777015470346,"score_gpt":0.2342233160219953,"score_spread":0.2265715390065249,"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."}}