{"id":"W640039046","doi":"10.1016/j.cose.2015.05.009","title":"Reconciling user privacy and implicit authentication for mobile devices","year":2015,"lang":"en","type":"article","venue":"Computers & Security","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Internet privacy; Computer security; Authentication (law)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01118914,0.001203883,0.001940301,0.001291569,0.003257364,0.00789284,0.00348792,0.004596688,0.003658678],"category_scores_gemma":[0.05353114,0.001387034,0.001602161,0.001829967,0.00630354,0.01932427,0.01723926,0.00782106,0.001651266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640821,"about_ca_system_score_gemma":0.003044992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223699,"about_ca_topic_score_gemma":0.001271435,"domain_scores_codex":[0.9731832,0.01327128,0.001588325,0.001903738,0.006755561,0.003297983],"domain_scores_gemma":[0.9252734,0.02352394,0.00370608,0.04045862,0.00619339,0.0008445914],"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":[0.001893622,0.0002278889,0.005019014,0.0003975545,0.0002229032,0.0008236223,0.003304763,0.03641053,0.01465101,0.7949256,0.004160078,0.1379634],"study_design_scores_gemma":[0.0001592032,0.0003773884,0.001914894,0.000201699,0.0003067681,0.001093698,0.001433369,0.3179002,0.02403077,0.6374817,0.01489757,0.0002027874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09796367,0.001007578,0.8824971,0.003184214,0.000459162,0.0001357458,0.0001309807,0.0007555635,0.01386599],"genre_scores_gemma":[0.957826,0.0003312294,0.03571121,0.0002760995,0.0002101234,0.00006047745,0.00008724098,0.0001104819,0.005387192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01118914,"threshold_uncertainty_score":0.0591746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465157246921714,"score_gpt":0.2879352821027018,"score_spread":0.2532837096334846,"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."}}