{"id":"W2897312888","doi":"10.1145/3234695.3236342","title":"Understanding Authentication Method Use on Mobile Devices by People with Vision Impairment","year":2018,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Password; Authentication (law); Computer science; Computer security; Internet privacy; Mobile device; Perception; Biometrics; Human–computer interaction; World Wide Web; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003805924,0.0001189724,0.0001181084,0.0001000975,0.0002023823,0.0004289981,0.0003840864,0.00004116553,0.00009225537],"category_scores_gemma":[0.000008311821,0.00008458323,0.00002992455,0.0003654952,0.00003106988,0.0007601167,0.00007092328,0.00005170232,0.0001924156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166817,"about_ca_system_score_gemma":0.00002657006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008496154,"about_ca_topic_score_gemma":0.0001476546,"domain_scores_codex":[0.998745,0.0001209592,0.0001892012,0.0003841987,0.0003639833,0.0001967217],"domain_scores_gemma":[0.999032,0.0001369312,0.00009530513,0.0005503329,0.00008540255,0.0001000493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001434086,0.002336518,0.01491717,0.0001448864,0.0002250496,0.000004285504,0.2979881,0.00003079769,0.009215325,0.551669,0.1180768,0.005248743],"study_design_scores_gemma":[0.001209134,0.003060902,0.009901842,0.0001477706,0.00003292181,0.00002421578,0.002293663,0.9160324,0.01150987,0.002232269,0.05288532,0.0006697131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05225219,0.00001478018,0.9451929,0.001075264,0.000150276,0.0003692515,0.000001837431,0.0002076204,0.0007359317],"genre_scores_gemma":[0.9849417,0.000003572427,0.0129479,0.0007098209,0.00002515321,0.00003179091,0.000005655535,0.000008727895,0.001325693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9326895,"threshold_uncertainty_score":0.4136839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04981253379404343,"score_gpt":0.3112739261766074,"score_spread":0.261461392382564,"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."}}