{"id":"W7150758369","doi":"10.47363/jbrr/fintech2025/2025(2)3","title":"How RDH Uses Entanglement Emulation to Protect Smart Cards, POS Terminals and Digital Banking from AI and Quantum Threats","year":2025,"lang":"","type":"article","venue":"Journal of Business Research and Reports","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Handshake; Encryption; Spoofing attack; Cryptography; Emulation; Malware; Smart card; Payment; Authentication (law); Credit card","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":[0.0009314518,0.0004722324,0.0003524258,0.0006097252,0.001504792,0.003142253,0.0009607579,0.00261186,0.0134606],"category_scores_gemma":[0.00309582,0.0004261502,0.0006521225,0.0003331803,0.003681068,0.006453934,0.003467087,0.002271718,0.004239946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000902509,"about_ca_system_score_gemma":0.001175807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009087572,"about_ca_topic_score_gemma":0.000620278,"domain_scores_codex":[0.9990864,0.0002252223,0.0000347403,0.0001601955,0.0003125429,0.0001808915],"domain_scores_gemma":[0.999082,0.0002726649,0.00005865675,0.0003888229,0.0001248696,0.0000730463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008127383,0.00006728212,0.0005945176,0.0000790528,0.00003114978,0.0003752949,0.0004276555,0.009690464,0.01117752,0.9279693,0.009087128,0.04041924],"study_design_scores_gemma":[0.00006908031,0.0001639266,0.0004325383,0.0001659364,0.00003778238,0.001357657,0.0003310771,0.0771605,0.02971681,0.7654944,0.1249519,0.0001183256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04443819,0.002027442,0.6567346,0.01347152,0.002202891,0.0003018087,0.0002870581,0.003102165,0.2774344],"genre_scores_gemma":[0.8185315,0.001636068,0.09371036,0.003624341,0.0004018741,0.0002279456,0.0002198901,0.0007123949,0.08093556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0134606,"threshold_uncertainty_score":0.04503024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04938982153047587,"score_gpt":0.3471659103641357,"score_spread":0.2977760888336598,"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."}}