{"id":"W2781802188","doi":"10.1371/journal.pone.0189048","title":"Evaluating authentication options for mobile health applications in younger and older adults","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University Health Network; University of Waterloo","funders":"Office of the Privacy Commissioner of Canada","keywords":"Usability; Password; SwIPe; Login; Biometrics; Android (operating system); Computer science; Authentication (law); Mobile device; Human–computer interaction; Medicine; Computer security; World Wide Web","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":[0.0004797279,0.0000681006,0.0001249245,0.0001050201,0.0001777738,0.00007866508,0.0002270122,0.00003233715,0.000008341431],"category_scores_gemma":[0.00004012607,0.00006941085,0.00001781555,0.0002532477,0.00003734677,0.0002421505,0.00005195215,0.00004514317,0.00003426817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004114161,"about_ca_system_score_gemma":0.00005243573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003150411,"about_ca_topic_score_gemma":0.00003455251,"domain_scores_codex":[0.9990201,0.00005949049,0.0002596026,0.0003033932,0.0001906824,0.0001667061],"domain_scores_gemma":[0.9991689,0.0000790161,0.0001007892,0.0003855948,0.0001929558,0.00007271322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003993596,0.01116082,0.009367576,0.001877851,0.0002084722,1.950217e-7,0.465394,0.000003487279,0.01914946,0.3978532,0.0002880589,0.09465693],"study_design_scores_gemma":[0.001310128,0.0005837172,0.02880996,0.0004790049,0.00003046456,0.00000156571,0.0008974032,0.9583156,0.001942633,0.00681153,0.0005372603,0.0002806991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8711696,0.0004932036,0.1217894,0.001330963,0.00005371191,0.004937554,0.00001345361,0.00014476,0.00006740651],"genre_scores_gemma":[0.9641742,0.00001865341,0.03142725,0.0001589931,0.0000673884,0.003974351,0.00001872699,0.000007103498,0.0001533256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9583122,"threshold_uncertainty_score":0.2830493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08067995313487215,"score_gpt":0.3438506714559501,"score_spread":0.263170718321078,"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."}}