{"id":"W2996638678","doi":"10.1109/iemcon.2019.8936240","title":"Identification Key Based on Optical Variable Nanostructures","year":2019,"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":"Simon Fraser University","funders":"","keywords":"Computer science; Key (lock); Identification (biology); Authentication (law); Counterfeit; Encryption; Barcode; Layer (electronics); Computer security; Computer network; Cryptography; Physical layer; Component (thermodynamics); Electronics; Embedded system; Computer hardware; Engineering; Telecommunications; Electrical engineering; Materials science; Nanotechnology; Operating system","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":[0.0001335803,0.000212533,0.0001685881,0.0002215424,0.0002384962,0.0004019938,0.0004475249,0.0003989607,0.001484548],"category_scores_gemma":[0.0004043543,0.0001260187,0.0001297859,0.0002146963,0.0004259438,0.001093509,0.0003651398,0.0002891275,0.0004581668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386417,"about_ca_system_score_gemma":0.0002121004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002058103,"about_ca_topic_score_gemma":0.0002247506,"domain_scores_codex":[0.9997745,0.00002206539,0.00001404082,0.00006720288,0.00009452683,0.00002761554],"domain_scores_gemma":[0.9997906,0.00004711286,0.00005677629,0.0000367781,0.00005598472,0.00001276886],"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":[0.0001044292,0.00002462291,0.0003307932,0.000192663,0.000007507566,0.0002250681,0.0001282879,0.0007878374,0.9395595,0.0305802,0.0009155491,0.02714358],"study_design_scores_gemma":[0.00001745469,0.000311444,0.0009274809,0.0000258481,0.00002159268,0.001022231,0.00007613753,0.009944887,0.9500028,0.00315844,0.0344569,0.00003490541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5875906,0.007893491,0.3308322,0.001424279,0.001112618,0.0002969237,0.0004974449,0.0012378,0.0691147],"genre_scores_gemma":[0.9534709,0.0009797342,0.03743878,0.0001806225,0.00004491725,0.00005390979,0.00007049923,0.00002647248,0.007734125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484548,"threshold_uncertainty_score":0.004966319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004858534254369689,"score_gpt":0.2039444983548804,"score_spread":0.1990859641005107,"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."}}