{"id":"W4296792129","doi":"10.1155/2022/5394942","title":"Multifactor Authentication for Smart Emergency Medical Response Transporters","year":2022,"lang":"en","type":"article","venue":"International Journal of Telemedicine and Applications","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Authentication (law); Computer security; Scheme (mathematics); Computer science; Key (lock); Internet of Things; Health care; Security analysis; Medical emergency; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0008014826,0.00008254292,0.0001391849,0.0002029525,0.000209133,0.00002142247,0.0008334614,0.00002490399,0.0002578731],"category_scores_gemma":[0.0001342,0.00007276522,0.000108712,0.0002121885,0.0000442055,0.000216554,0.00009738024,0.0002066891,0.000002519268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006346399,"about_ca_system_score_gemma":0.000172185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009715345,"about_ca_topic_score_gemma":0.000004101073,"domain_scores_codex":[0.9984301,0.00005554465,0.000477859,0.0001723453,0.0007465087,0.0001176062],"domain_scores_gemma":[0.9988019,0.0002150301,0.0002572713,0.0001653163,0.0004048089,0.0001556008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001889063,0.00418233,0.005269919,0.0000715486,0.0009849579,0.00009337405,0.005480806,0.0003217295,0.01971987,0.3707401,0.05873287,0.5325134],"study_design_scores_gemma":[0.001825147,0.000488523,0.01249394,0.00001769357,0.00005154313,0.0002454479,0.0003149554,0.01084823,0.0002835887,0.01936104,0.9539019,0.0001680104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0456893,0.000148059,0.9218268,0.03095126,0.000917176,0.0002779078,0.00005728753,0.00002952704,0.0001026551],"genre_scores_gemma":[0.9945159,0.0001130763,0.003682639,0.0006119421,0.0005861296,0.0001935231,0.00003085324,0.000007256213,0.0002587088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9488266,"threshold_uncertainty_score":0.296728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127030698366509,"score_gpt":0.2876126531087121,"score_spread":0.276342346125047,"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."}}