{"id":"W4289711987","doi":"10.3390/jrfm15080342","title":"HF-SCA: Hands-Free Strong Customer Authentication Based on a Memory-Guided Attention Mechanisms","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Payment; Authentication (law); Database transaction; Credit card; Computer security; Artificial intelligence; Business; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003720213,0.0005572498,0.0003995868,0.0004065642,0.0002684849,0.0004263174,0.00122255,0.0007286213,0.002791533],"category_scores_gemma":[0.0007925584,0.0001894403,0.0003879324,0.0002349637,0.0003453202,0.00110467,0.001138219,0.0009237322,0.001154509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000420123,"about_ca_system_score_gemma":0.0004987334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004150081,"about_ca_topic_score_gemma":0.005643822,"domain_scores_codex":[0.9997631,0.00003096061,0.00000888773,0.00007522119,0.00005607937,0.00006563849],"domain_scores_gemma":[0.999715,0.00008078045,0.00003443127,0.0000535316,0.00007670878,0.00003945201],"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":[0.0009628592,0.0006305987,0.002718507,0.0001427217,0.0001140679,0.0004824964,0.0001652426,0.0375823,0.104785,0.003876443,0.01057022,0.8379695],"study_design_scores_gemma":[0.00005857671,0.0007335386,0.003639576,0.00002224691,0.00008434756,0.0003427877,0.00003527606,0.9322777,0.05433695,0.003317753,0.005108353,0.00004292844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2121052,0.001418979,0.755519,0.000523534,0.0003555337,0.0002147827,0.0003325551,0.01920572,0.01032468],"genre_scores_gemma":[0.8918748,0.0002264863,0.09765234,0.0005478113,0.0000930674,0.00008856669,0.0003704229,0.0001112826,0.009035246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004150081,"threshold_uncertainty_score":0.009338558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105220491588573,"score_gpt":0.2221771211693307,"score_spread":0.211124916253445,"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."}}