{"id":"W3027254207","doi":"10.1109/access.2020.2996233","title":"A Multi-Feature User Authentication Model Based on Mobile App Interactions","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Login; Computer science; Authentication (law); Password; Identification (biology); Feature (linguistics); Access control; Process (computing); Mobile apps; Mobile device; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000829573,0.0008927449,0.000696532,0.001173788,0.0004494064,0.0009656445,0.0009245088,0.0009664572,0.00174515],"category_scores_gemma":[0.001803137,0.0002777345,0.001082305,0.0007047165,0.0003502143,0.0014395,0.0005687011,0.001090985,0.001165355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006537052,"about_ca_system_score_gemma":0.0006054089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005559711,"about_ca_topic_score_gemma":0.004395695,"domain_scores_codex":[0.9993709,0.0001316415,0.00005403276,0.0002078851,0.0001572774,0.00007824649],"domain_scores_gemma":[0.999209,0.0003141265,0.0001130799,0.00006310712,0.0002630554,0.000037718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001731937,0.0009500591,0.03046564,0.000261339,0.0003838578,0.0009505367,0.0004649039,0.5690221,0.02114169,0.008385814,0.004324674,0.3619175],"study_design_scores_gemma":[0.000004822321,0.000106333,0.00171091,0.00000575144,0.00002555317,0.00007453732,0.000009286538,0.9963331,0.0006437166,0.0007900739,0.0002852181,0.00001064006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.166181,0.0007484439,0.8247656,0.0009247728,0.0002218278,0.0002900545,0.0007378129,0.002382279,0.003748296],"genre_scores_gemma":[0.9538959,0.0002605058,0.04106447,0.00008577454,0.00006113082,0.00017513,0.0003423513,0.00002345751,0.004091119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005559711,"threshold_uncertainty_score":0.01105469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05625042138856943,"score_gpt":0.3319583800541299,"score_spread":0.2757079586655604,"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."}}