{"id":"W2985587524","doi":"10.4018/jgim.2020010110","title":"Identity Authentication Security Management in Mobile Payment Systems","year":2019,"lang":"en","type":"article","venue":"Journal of Global Information Management","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"People's Government of Jilin Province; Queen's University; Chinese Academy of Sciences; National Natural Science Foundation of China; National Science Foundation; Old Dominion University; Changchun University of Technology; Ohio State University","keywords":"Mobile payment; Computer security; Computer science; Authentication (law); Mobile computing; Internet privacy; Computer network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001915964,0.0004355836,0.0005236124,0.001049237,0.001697384,0.003679767,0.0009533954,0.001264489,0.00230441],"category_scores_gemma":[0.002483595,0.0002696025,0.0004365239,0.001078792,0.00100438,0.004484425,0.001966874,0.001061232,0.001743428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106773,"about_ca_system_score_gemma":0.001439521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007831913,"about_ca_topic_score_gemma":0.0003429125,"domain_scores_codex":[0.9976944,0.0006630759,0.0002301152,0.0003576947,0.0007679369,0.0002866354],"domain_scores_gemma":[0.9988487,0.0002043162,0.0001979745,0.000270486,0.0004094232,0.00006913175],"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":[0.0003056898,0.0002009848,0.00543805,0.0004510123,0.0000759896,0.001319479,0.001313319,0.02259779,0.02912199,0.5303686,0.01108327,0.3977239],"study_design_scores_gemma":[0.00007290689,0.0005017524,0.004501045,0.0004427142,0.0002173917,0.002409035,0.0008630707,0.4132082,0.06091208,0.2663423,0.2503306,0.0001988528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0640695,0.006097387,0.875565,0.002321339,0.000561926,0.0005809101,0.0001430967,0.001844814,0.04881612],"genre_scores_gemma":[0.8832535,0.002705353,0.09495959,0.0003811574,0.000327435,0.0002504235,0.0002165638,0.00007102949,0.01783485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003679767,"threshold_uncertainty_score":0.01013267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006736806073488605,"score_gpt":0.2550112815793887,"score_spread":0.2482744755059001,"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."}}