{"id":"W7160859818","doi":"10.65521/intjournalrecadvengtech.v12i2.637","title":"Securing ATM Transactions Through Dual Channel OTP Verification: Mobile SMS and Gmail Integration","year":2023,"lang":"","type":"article","venue":"International Journal Of Recent Advances in Engineering & Technology","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Password; ATM card; Database transaction; Login; Credit card; Card reader; Cash; Smart card; One-time password","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009300954,0.0004864993,0.0004994358,0.0008574337,0.0005366003,0.001402966,0.0007996385,0.001062947,0.003583957],"category_scores_gemma":[0.002146064,0.0002308806,0.0003212203,0.0004768008,0.0005950332,0.002697939,0.001193333,0.0007969749,0.002681665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400962,"about_ca_system_score_gemma":0.000533482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006577138,"about_ca_topic_score_gemma":0.000510672,"domain_scores_codex":[0.998044,0.0004114327,0.000142611,0.0002765531,0.0008390201,0.0002862664],"domain_scores_gemma":[0.9986156,0.0002472769,0.000188365,0.0003706939,0.0005032441,0.0000748642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002388897,0.0004077991,0.01039916,0.0006822385,0.0001537604,0.002527791,0.0009511283,0.003502307,0.2286404,0.02178855,0.0139261,0.7146319],"study_design_scores_gemma":[0.0002887267,0.003083155,0.01917542,0.0004362077,0.0004463353,0.01358635,0.001381231,0.2264606,0.5629081,0.01654258,0.1553706,0.0003207406],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3473799,0.006149811,0.5724643,0.002591564,0.00125559,0.00103767,0.0005883545,0.01596225,0.05257066],"genre_scores_gemma":[0.9419617,0.000668378,0.04254295,0.0003046076,0.0001860591,0.0000881015,0.0002465414,0.00009526988,0.01390641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003583957,"threshold_uncertainty_score":0.01198959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424980236825362,"score_gpt":0.2816786608509785,"score_spread":0.2674288584827249,"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."}}