{"id":"W1988295515","doi":"10.1109/mobisecserv.2015.7072875","title":"Leveraging COBIT5 in NFC-based payment technology: challenges and opportunities for security risk mitigation and audit","year":2015,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Business; Payment; Near field communication; Audit; Credential; Computer security; Risk management; Risk analysis (engineering); Computer science; Accounting; Internet privacy; Finance; Telecommunications; Ultra high frequency","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002138905,0.0001123441,0.0001349555,0.0002316045,0.00002921834,0.000007937479,0.00005306122,0.0001264916,0.000002149885],"category_scores_gemma":[0.00004619929,0.0001172616,0.000007564119,0.00004933835,0.00008675881,0.0001140394,0.0000324897,0.0001236573,6.931502e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006512864,"about_ca_system_score_gemma":0.00001289819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004355794,"about_ca_topic_score_gemma":0.00007021704,"domain_scores_codex":[0.9994646,0.00001070745,0.0001356087,0.0001583893,0.00005961358,0.0001710987],"domain_scores_gemma":[0.9997335,0.0000378166,0.00002771696,0.0001289892,0.00002960761,0.0000423389],"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":[0.0001037617,0.0002478852,0.06606875,0.001377015,0.0002943802,0.00007241641,0.005358935,0.007521911,0.002379468,0.06285463,0.002972776,0.8507481],"study_design_scores_gemma":[0.01381302,0.000802012,0.01306613,0.0005127744,0.0001123913,0.00003657491,0.03029611,0.401756,0.08767306,0.3871918,0.06300654,0.001733532],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818584,0.006641572,0.006458882,0.00313539,0.00008927893,0.0003624481,0.00001120606,0.0005763784,0.0008664205],"genre_scores_gemma":[0.9930642,0.002620716,0.004088746,0.0000383543,0.000007779079,0.0001359552,0.000006562721,0.0000151512,0.00002254015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8490145,"threshold_uncertainty_score":0.4781791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936354471902137,"score_gpt":0.2450606715926269,"score_spread":0.1956971268736055,"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."}}