{"id":"W4296782716","doi":"10.1145/3546747","title":"OneButtonPIN: A Single Button Authentication Method for Blind or Low Vision Users to Improve Accessibility and Prevent Eavesdropping","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Eavesdropping; Computer security; Usability; Authentication (law); Biometrics; Computer science; Identification (biology); Resilience (materials science); Human–computer interaction; Internet privacy","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":[0.001125837,0.0001999178,0.000260557,0.000271797,0.0005424399,0.0004337164,0.002069321,0.00005168109,0.00001287141],"category_scores_gemma":[0.0002975131,0.0001570152,0.0001271457,0.0004879088,0.00002653286,0.0008248645,0.001966152,0.0002304183,0.000003012475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821319,"about_ca_system_score_gemma":0.00003123268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002715027,"about_ca_topic_score_gemma":0.000004242369,"domain_scores_codex":[0.9979022,0.0000713521,0.0005720992,0.0007507984,0.0004672043,0.0002363591],"domain_scores_gemma":[0.9980143,0.0002134439,0.0005913705,0.0007319442,0.0003589614,0.00008993451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001095606,0.003076777,0.0003167726,0.001092423,0.0001967481,4.974239e-7,0.1179817,0.0001427923,0.7571352,0.012001,0.006372851,0.1005876],"study_design_scores_gemma":[0.002223166,0.004096648,0.006745121,0.0006425554,0.00008869546,0.00005104634,0.001368809,0.663435,0.2977219,0.01691508,0.006008928,0.0007029677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136642,0.000006126946,0.07766413,0.005327715,0.001367962,0.001797997,0.000008444678,0.0001127684,0.0000507017],"genre_scores_gemma":[0.9680402,6.650327e-7,0.03059392,0.0006073919,0.0001298311,0.0002837415,0.000003572176,0.00001864747,0.0003220233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6632923,"threshold_uncertainty_score":0.6402894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0629865327676167,"score_gpt":0.3766288507812726,"score_spread":0.3136423180136559,"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."}}