{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002056726,0.0005213566,0.0006238607,0.0003167193,0.0005801708,0.0001469132,0.001391079,0.0002176283,0.006869799],"category_scores_gemma":[0.00002146816,0.0004971254,0.0004008329,0.0006327503,0.00009512007,0.0001767757,0.0007943345,0.0005373483,0.001269409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486139,"about_ca_system_score_gemma":0.000298541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005301336,"about_ca_topic_score_gemma":0.0001721342,"domain_scores_codex":[0.9967638,0.0001006408,0.0003511024,0.001265086,0.0006988121,0.0008205133],"domain_scores_gemma":[0.997713,0.0001611434,0.0002446018,0.001532144,0.00002976139,0.0003192998],"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":[0.00001209206,0.0007641207,0.00002386917,0.0000808718,0.0001368425,0.000003815192,0.00004001015,0.00006822494,0.00002713552,0.07128369,0.9195094,0.008049942],"study_design_scores_gemma":[0.0005593647,0.0003910542,0.0000913631,0.00001639563,0.0000450313,0.000003863597,0.0000217968,0.002236284,0.00001046734,0.006344245,0.9897006,0.0005796028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001534832,0.0002174317,0.4655205,0.0008576086,0.002205812,0.001307131,0.0004124676,0.001050589,0.5284131],"genre_scores_gemma":[0.0004234475,0.00005253964,0.01250999,0.00143142,0.000998369,0.0008479714,0.0004059022,0.0003310794,0.9829993],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4545861,"threshold_uncertainty_score":0.9997481,"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."}}