{"id":"W4400732342","doi":"10.2139/ssrn.4891933","title":"A Theory Model of Digital Currency with Asymmetric Privacy","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Currency; Internet privacy; Digital currency; Computer security; Computer science; Business; Economics; Monetary economics","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":[0.001904407,0.0006852193,0.001122373,0.001491845,0.001836155,0.005626875,0.002227237,0.004112534,0.01509615],"category_scores_gemma":[0.005891505,0.0005772917,0.001017774,0.002285653,0.003865438,0.008601113,0.002413469,0.00293383,0.001228355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502537,"about_ca_system_score_gemma":0.002088054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323713,"about_ca_topic_score_gemma":0.001231882,"domain_scores_codex":[0.9985754,0.0006081364,0.00007688816,0.0002449118,0.0003051589,0.0001893655],"domain_scores_gemma":[0.9968691,0.001840941,0.0002789295,0.0003559095,0.0003935218,0.0002616652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008049416,0.000007807977,0.00003798475,0.00001029428,0.000002902528,0.00003775927,0.00003845978,0.003838598,0.00006384459,0.9950749,0.0003178572,0.0005615113],"study_design_scores_gemma":[0.00002296717,0.00001092449,0.00001718434,0.000008742724,0.000004949919,0.00003876548,0.00003892259,0.04583526,0.00005630965,0.9527751,0.001184316,0.000006572115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1008617,0.001428928,0.7473188,0.0131277,0.000423087,0.0001602574,0.0007380897,0.0002365496,0.1357049],"genre_scores_gemma":[0.9382718,0.001051909,0.0311792,0.0006452602,0.0003459933,0.0001860185,0.0002546673,0.00004856616,0.02801663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01509615,"threshold_uncertainty_score":0.0505017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001685256092177,"score_gpt":0.2395319940627084,"score_spread":0.2295151415017866,"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."}}