{"id":"W2945679936","doi":"10.1007/978-3-030-18305-9_23","title":"A Behavior-Based Proactive User Authentication Model Utilizing Mobile Application Usage Patterns","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Authentication (law); Mobile device; Computer security; Mobile apps; World Wide Web","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000794615,0.0005145925,0.0004761547,0.0007943974,0.0002234517,0.000609736,0.00297758,0.0003600624,0.00001406647],"category_scores_gemma":[0.00002370578,0.0005036403,0.0001643201,0.0004770264,0.0002597796,0.000753701,0.0005932145,0.0006159006,0.0001382641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000443483,"about_ca_system_score_gemma":0.0007837004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003085047,"about_ca_topic_score_gemma":0.00006324307,"domain_scores_codex":[0.9957541,0.00005542579,0.0006471169,0.001817767,0.001169107,0.0005565416],"domain_scores_gemma":[0.9965189,0.0002092631,0.0004764551,0.002264076,0.0003616273,0.0001696934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003788319,0.0009522784,0.00376982,0.0005829324,0.00007602354,0.00003764228,0.04945833,0.09623773,0.005129911,0.1186751,0.00002926552,0.7250131],"study_design_scores_gemma":[0.000251157,0.00009879891,0.0004700923,0.0001807841,0.00002084063,0.000009613373,8.278985e-7,0.9880837,0.001378951,0.008562895,0.0003964544,0.000545921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002559166,0.00006921202,0.9933013,0.0001943223,0.0008823175,0.002184507,0.0000198994,0.0002350615,0.0005541844],"genre_scores_gemma":[0.9594339,0.000005815445,0.03900747,0.0004759967,0.0001042354,0.0002539225,0.00003405017,0.00004451708,0.0006401507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9568747,"threshold_uncertainty_score":0.9997415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412654968512666,"score_gpt":0.2681448045685286,"score_spread":0.2440182548834019,"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."}}