{"id":"W4282968347","doi":"10.1109/vts52500.2021.9794269","title":"Innovation Practices Track: Security in Test and Test for Security","year":2022,"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 Calgary","funders":"","keywords":"Computer science; Security testing; Test (biology); Computer security; Hardware security module; Session (web analytics); Embedded system; Software security assurance; Physical security; Reliability engineering; Cryptography; Security service; Security information and event management; Information security; Cloud computing security; Engineering; Cloud computing","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":[0.04020439,0.001613888,0.00152354,0.005141423,0.003304016,0.01371004,0.004461348,0.01055991,0.06423423],"category_scores_gemma":[0.05659707,0.001194049,0.000915561,0.004269226,0.004715931,0.01226407,0.008132371,0.01048813,0.04478434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005518381,"about_ca_system_score_gemma":0.01451261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157443,"about_ca_topic_score_gemma":0.003453753,"domain_scores_codex":[0.9676647,0.007641214,0.001917774,0.00230196,0.01815046,0.002323902],"domain_scores_gemma":[0.9168392,0.02282817,0.005924588,0.01741297,0.02466616,0.0123288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000924776,0.0003453819,0.001600109,0.0004446195,0.00005195157,0.0001705459,0.0004650643,0.001937482,0.003509748,0.08719064,0.491713,0.412479],"study_design_scores_gemma":[0.00004851645,0.0002839722,0.0006770872,0.0005488737,0.00001723324,0.0001720597,0.0001515109,0.003830822,0.003564668,0.03421155,0.9564439,0.00004987812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005290715,0.01841127,0.3510014,0.1335511,0.01524356,0.002701438,0.002918693,0.02131385,0.4495681],"genre_scores_gemma":[0.09284241,0.03218214,0.2745224,0.03784978,0.01146115,0.004181937,0.01184399,0.009001759,0.5261144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06423423,"threshold_uncertainty_score":0.2148849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221688517835948,"score_gpt":0.2769033897113874,"score_spread":0.2546865045330279,"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."}}