{"id":"W6998840586","doi":"","title":"The Bearer Digital Coin: Optimal Design and Legal Features","year":2023,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Optimal design; Key (lock); Work (physics); Feature (linguistics); Focus (optics)","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002479117,0.0001548908,0.0001332206,0.00005198289,0.0004395564,0.006384906,0.0002241805,0.00005658069,0.00004439596],"category_scores_gemma":[0.00008333339,0.0001110211,0.00006055243,0.0001812651,0.000104625,0.005988476,0.0002543661,0.0001428861,0.001913679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001395389,"about_ca_system_score_gemma":0.00001427438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905478,"about_ca_topic_score_gemma":0.0001152094,"domain_scores_codex":[0.9991145,9.697243e-7,0.0001710908,0.0002276124,0.000122566,0.0003632898],"domain_scores_gemma":[0.9995833,0.0000844459,0.00007027132,0.0001944661,0.00003611858,0.00003139823],"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":[0.0001336547,0.00003246759,0.001547429,0.00004875696,0.00007468335,0.00006882691,0.00001617527,0.002578872,0.00002641798,0.839025,0.1433425,0.01310524],"study_design_scores_gemma":[0.0005390487,0.00002242635,0.004973944,0.00002473431,0.0000185717,0.000014208,0.000554755,0.005111383,0.00002966256,0.02335247,0.9649825,0.0003763461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937569,0.0001473773,0.00009885266,0.001026959,0.0004849912,0.0002630208,0.000007805541,0.0002895474,0.1039246],"genre_scores_gemma":[0.9892918,0.00001963146,0.0001056831,0.001311283,0.0007720314,0.00001748896,0.00004565334,0.0000333973,0.00840299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.82164,"threshold_uncertainty_score":0.9988635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475089552994583,"score_gpt":0.2058705897420305,"score_spread":0.1911196942120847,"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."}}