{"id":"W4311613123","doi":"10.1364/oe.480884","title":"Laser-machined thin copper films on silicon as physical unclonable functions","year":2022,"lang":"en","type":"article","venue":"Optics Express","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministère de la Défense Nationale","keywords":"Materials science; Silicon; Microscale chemistry; Laser ablation; Machining; Nanoparticle; Nanotechnology; Copper; Substrate (aquarium); Laser; Optoelectronics; Optics; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001110395,0.0002400349,0.0001344301,0.0002705398,0.0001533621,0.0002910161,0.0003305754,0.0002650766,0.001020178],"category_scores_gemma":[0.0002035818,0.0002402174,0.00009451614,0.0001742159,0.0003376447,0.0002282687,0.0001707829,0.0002709368,0.0003208662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239074,"about_ca_system_score_gemma":0.000163697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000461312,"about_ca_topic_score_gemma":0.001174464,"domain_scores_codex":[0.9999077,0.000007395528,0.000004771866,0.00002157244,0.00004236117,0.00001622975],"domain_scores_gemma":[0.9998909,0.00002528173,0.00003555587,0.00002039897,0.00001808543,0.000009794421],"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":[0.00002656304,0.00001145756,0.0001386528,0.00008766393,0.000003973313,0.0001614612,0.00004847758,0.0008722645,0.9940128,0.0007904116,0.0002400298,0.003606176],"study_design_scores_gemma":[0.00001057333,0.0001211366,0.0005292995,0.00000911399,0.000003804192,0.00005958141,0.00002732189,0.004341975,0.9923804,0.00007135791,0.002440208,0.000005313133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810208,0.001209101,0.008901337,0.0001506475,0.0001184208,0.00004631822,0.0001103069,0.0002263733,0.008216583],"genre_scores_gemma":[0.9804416,0.0007676745,0.01528669,0.00004870619,0.00001882266,0.00002727993,0.0000622765,0.00004118428,0.00330573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001020178,"threshold_uncertainty_score":0.003412783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210168105244103,"score_gpt":0.2400046048344549,"score_spread":0.2279029237820139,"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."}}