{"id":"W4392378917","doi":"10.3390/math12050752","title":"Ear-Touch-Based Mobile User Authentication","year":2024,"lang":"en","type":"article","venue":"Mathematics","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"European Commission","keywords":"Computer science; Human–computer interaction; Authentication (law); Computer security","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":[0.0006376611,0.0004235931,0.0007023812,0.0009184456,0.0002484288,0.0007095084,0.0004286737,0.0006535423,0.002937359],"category_scores_gemma":[0.002682525,0.0001130877,0.0003104533,0.0005553243,0.0002886568,0.001051766,0.001235874,0.0003003436,0.002460547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545584,"about_ca_system_score_gemma":0.0001954765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000388245,"about_ca_topic_score_gemma":0.0008619336,"domain_scores_codex":[0.9990194,0.0002306092,0.00006115192,0.0001724298,0.00043366,0.00008286576],"domain_scores_gemma":[0.9988917,0.0003089958,0.0001503791,0.0002226087,0.0003722484,0.0000540887],"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":[0.001813334,0.0002352091,0.01303211,0.0004891407,0.0001744289,0.0007458979,0.000319199,0.006449603,0.2791881,0.001842255,0.004154785,0.6915559],"study_design_scores_gemma":[0.0001144128,0.002696535,0.09914818,0.0001631398,0.0003238977,0.01031548,0.0004653496,0.5713332,0.2930661,0.004173999,0.01800423,0.0001956016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4825938,0.003840596,0.4980903,0.0002522231,0.0003161846,0.000347983,0.001068709,0.005299504,0.008190689],"genre_scores_gemma":[0.942524,0.0007416919,0.05139134,0.0001191128,0.0000791076,0.00006315031,0.0005340405,0.00004301146,0.004504502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002937359,"threshold_uncertainty_score":0.009826422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442416947396544,"score_gpt":0.2650565705142874,"score_spread":0.250632401040322,"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."}}