{"id":"W4282001163","doi":"10.1002/9781119987451.ch3","title":"SRAM Physically Unclonable Functions for Smart Home IoT Telehealth Environments","year":2022,"lang":"en","type":"other","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; University of Victoria","funders":"","keywords":"Static random-access memory; Embedded system; Physical unclonable function; Sketch; Computer science; Authentication (law); Internet of Things; Key (lock); Computer security; Engineering; Computer hardware","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":[0.0003445052,0.0004250312,0.0003012837,0.0003739026,0.0002777954,0.0007689272,0.0005831517,0.0006030768,0.006496315],"category_scores_gemma":[0.00129113,0.0001869607,0.0002738882,0.0003249082,0.0005274862,0.001575186,0.0004412765,0.0005580192,0.0009557528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008128792,"about_ca_system_score_gemma":0.0002545823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002786828,"about_ca_topic_score_gemma":0.0004314886,"domain_scores_codex":[0.9997285,0.00005531681,0.00001698081,0.00003655569,0.0001258243,0.00003686729],"domain_scores_gemma":[0.999368,0.0003061331,0.00009601876,0.0001265145,0.00008985193,0.00001355992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007279902,0.0001443749,0.004269599,0.0009577877,0.000106472,0.001205303,0.0006188025,0.1385047,0.2380934,0.2159581,0.009072517,0.3903411],"study_design_scores_gemma":[0.00002808729,0.001097422,0.002873898,0.0002654254,0.0001097731,0.002795887,0.0002404296,0.6399651,0.2512226,0.03205644,0.0692786,0.00006642213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1813349,0.007623695,0.7686037,0.001199231,0.0002667098,0.0001454392,0.000285164,0.002948728,0.03759243],"genre_scores_gemma":[0.9358186,0.00192043,0.049548,0.0002077127,0.00006090062,0.00005965842,0.000100563,0.0001317073,0.01215242],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006496315,"threshold_uncertainty_score":0.02173233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062508122234846,"score_gpt":0.2247200972915897,"score_spread":0.2140950160692413,"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."}}