{"id":"W4406140101","doi":"10.36227/techrxiv.173627402.26411980/v1","title":"Comparing Crypto and Digital Cash Systems: A Cryptographic Analysis","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cryptography; Computer security; Computer science; Cryptographic primitive; Cash; Cryptographic protocol; Internet privacy; Business; Finance","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":[0.002795891,0.0003294886,0.0003730338,0.005753009,0.0009697953,0.003843951,0.0005552489,0.0008142743,0.006170679],"category_scores_gemma":[0.01724013,0.0001472355,0.000502885,0.005235771,0.002388874,0.006602545,0.001790005,0.001262136,0.0007973782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055014,"about_ca_system_score_gemma":0.0011658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164919,"about_ca_topic_score_gemma":0.0007126772,"domain_scores_codex":[0.9968683,0.001060813,0.0001257365,0.0001654606,0.001500387,0.0002792101],"domain_scores_gemma":[0.9902672,0.005861856,0.001399649,0.0009170792,0.00131969,0.0002345327],"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":[0.0002376969,0.00005351917,0.008127802,0.0001602577,0.00003697931,0.0001318087,0.0005738952,0.008988672,0.001666265,0.9256417,0.002139241,0.05224211],"study_design_scores_gemma":[0.0001075617,0.001236037,0.05167387,0.0005238387,0.00009545044,0.001689861,0.007584007,0.122229,0.00738256,0.6966044,0.1106798,0.0001935073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5064104,0.01533949,0.1716423,0.01745044,0.0007045504,0.0004872505,0.001212673,0.0003156019,0.2864372],"genre_scores_gemma":[0.9742388,0.003471544,0.0152714,0.0003538503,0.0002641712,0.0000931867,0.0002505902,0.00004195034,0.00601447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006170679,"threshold_uncertainty_score":0.020643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135666932421989,"score_gpt":0.2514809220597979,"score_spread":0.230124252735578,"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."}}