{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001320536,0.0002836838,0.0003503137,0.0006785851,0.0001081608,0.0002154399,0.002582488,0.0002994017,0.000001290708],"category_scores_gemma":[0.00005007816,0.0002184374,0.0001950403,0.0008371472,0.0001286178,0.0001481181,0.001891846,0.006656547,0.00001473587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405726,"about_ca_system_score_gemma":0.005542507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004340976,"about_ca_topic_score_gemma":0.000009825397,"domain_scores_codex":[0.9972913,0.00004348476,0.0004219885,0.0005460579,0.000366429,0.001330712],"domain_scores_gemma":[0.9983307,0.00006083457,0.0003677299,0.0009863677,0.0001855305,0.00006880513],"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":[0.000007195704,0.0001010204,0.0000429685,0.00003362927,0.0001781087,0.000002139228,0.0001807525,0.000480668,0.000004954991,0.8761413,0.00002761687,0.1227997],"study_design_scores_gemma":[0.0001494052,0.0001562977,0.000005346935,0.00007029466,0.00004928598,0.0002687305,0.00005695458,0.07355681,0.00006881947,0.9253263,0.00007627429,0.0002154745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03498609,0.01190231,0.9496052,0.001289487,0.000131724,0.0002325375,0.00001549715,0.0002056856,0.001631426],"genre_scores_gemma":[0.9924287,0.001987677,0.005096842,0.00001400858,0.00006252421,0.00003362188,0.000003623915,0.00002384358,0.00034917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9574426,"threshold_uncertainty_score":0.9956352,"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."}}