{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004080344,0.00008357321,0.0000881324,0.00005042133,0.0005836393,0.0001033016,0.0002363953,0.00007280172,0.00005933645],"category_scores_gemma":[0.00005359057,0.00006368802,0.00002628448,0.0002641339,0.00008412172,0.0004013281,0.00007431784,0.0001021167,0.0001408179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000454432,"about_ca_system_score_gemma":0.0001668068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079451,"about_ca_topic_score_gemma":0.002892949,"domain_scores_codex":[0.9989988,0.00007898093,0.000120115,0.0002198172,0.0003511757,0.000231071],"domain_scores_gemma":[0.9995053,0.000005922353,0.00005937937,0.0002682364,0.00006678965,0.00009437997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005006415,0.001371564,0.002239533,0.0005978829,0.0001622674,0.00005838208,0.1030367,0.0008226758,0.00337372,0.8094918,0.002337523,0.07600728],"study_design_scores_gemma":[0.00650264,0.003983578,0.003644757,0.0006421484,0.000101458,0.00008644792,0.102316,0.0003417721,0.03267876,0.02975132,0.8181678,0.0017833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4290683,0.0002562478,0.4039307,0.003667694,0.001131275,0.007400842,0.00001442487,0.002410356,0.1521202],"genre_scores_gemma":[0.9974284,0.00002602249,0.001419187,0.00003972758,0.0002328751,0.0003796667,0.000003696105,0.000007917752,0.0004625476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8158303,"threshold_uncertainty_score":0.9857261,"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."}}