{"id":"W25271894","doi":"10.1097/acm.0000000000000501","title":"Mobile Payment System with Privacy Protection","year":2004,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Internet privacy; Confidentiality; Authentication (law); Payment; Mobile payment; Business; Payment system; Information privacy; Point (geometry); Privacy software; Computer science; Privacy protection; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006428669,0.0006118442,0.0007295107,0.0007051979,0.005719602,0.007440456,0.002937055,0.03198307,0.009333386],"category_scores_gemma":[0.03008072,0.0004872107,0.001143469,0.001194027,0.004188053,0.006023696,0.002436027,0.01471803,0.003423255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003457998,"about_ca_system_score_gemma":0.007696371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175727,"about_ca_topic_score_gemma":0.02041515,"domain_scores_codex":[0.9936132,0.001552666,0.0006364453,0.000543108,0.002905217,0.0007494722],"domain_scores_gemma":[0.9832697,0.0109971,0.001114965,0.0007068065,0.002822816,0.001088742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001655958,0.000018024,0.0006356156,0.00009572983,0.00001114325,0.0004185974,0.0006116382,0.0001012675,0.000134495,0.02519423,0.9532164,0.01954629],"study_design_scores_gemma":[0.000006767487,0.00001372206,0.0005306297,0.0001332516,0.000007612301,0.000178701,0.0002510151,0.0001499367,0.00006614323,0.002605337,0.9960413,0.0000156219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001352902,0.005583667,0.001971361,0.8702752,0.07597824,0.00007289076,0.0001467512,0.0001682466,0.0444507],"genre_scores_gemma":[0.02365993,0.007458682,0.001506588,0.7654399,0.1343863,0.0001060108,0.0001437498,0.0001416254,0.06715727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03198307,"threshold_uncertainty_score":0.03399849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321193416653262,"score_gpt":0.2748362792528823,"score_spread":0.2516243450863497,"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."}}