{"id":"W4312253295","doi":"10.1109/bcca55292.2022.9922084","title":"Blockchain and Mobile Payment: Assessment on Privacy and Usability and a Scheme for Enhancement","year":2022,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blockchain; Computer science; Database transaction; Computer security; Payment; Cryptography; Scheme (mathematics); Usability; Exploit; Node (physics); Information privacy; Public-key cryptography; Trusted third party; Internet privacy; Database; Encryption; World Wide Web; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01316536,0.000551222,0.0006588425,0.00181576,0.001321266,0.003950291,0.001281988,0.002217269,0.003561186],"category_scores_gemma":[0.03330135,0.0003781511,0.0007013217,0.003551898,0.002822697,0.009381913,0.002875225,0.001149439,0.0006130566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286503,"about_ca_system_score_gemma":0.001957182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00181002,"about_ca_topic_score_gemma":0.0007020366,"domain_scores_codex":[0.9781935,0.01205939,0.0007142542,0.0006152804,0.007771411,0.0006461414],"domain_scores_gemma":[0.9645527,0.01945277,0.001614259,0.007870324,0.006012739,0.0004972083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003772144,0.0006911922,0.02651245,0.001693158,0.0001877035,0.0007039753,0.001769498,0.03833102,0.0131877,0.4395944,0.00439356,0.4691632],"study_design_scores_gemma":[0.0009267092,0.006426324,0.02011044,0.001300217,0.000467443,0.005884192,0.003570519,0.4659127,0.07538345,0.3314322,0.08811637,0.0004693584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4867693,0.01639345,0.3912772,0.008124532,0.0004174148,0.002458466,0.000450573,0.0007891199,0.09331991],"genre_scores_gemma":[0.9319305,0.003840662,0.05676992,0.000191358,0.00009512132,0.0002213893,0.0001338899,0.00006465366,0.006752501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316536,"threshold_uncertainty_score":0.06962597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122822814668403,"score_gpt":0.2769959689572172,"score_spread":0.2647136874903769,"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."}}