{"id":"W4296436259","doi":"10.2139/ssrn.4219437","title":"The Liquidity Premium of Digital Payment Vehicle","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Market liquidity; Treasury; Payment; Business; Context (archaeology); Liquidity premium; Exploit; Payment system; Cash; Monetary economics; Liquidity risk; Finance; Economics; Computer science; Computer security","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":[0.001355384,0.0002875926,0.0005615288,0.00135471,0.0006685004,0.00469996,0.0006428316,0.002421446,0.01742493],"category_scores_gemma":[0.01289481,0.0003319716,0.0003385872,0.0009617987,0.001246031,0.004080097,0.0009897065,0.002790804,0.001303848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700238,"about_ca_system_score_gemma":0.0008224107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003612536,"about_ca_topic_score_gemma":0.002951919,"domain_scores_codex":[0.9993073,0.0001368906,0.0000343223,0.0001068488,0.0001601815,0.0002544496],"domain_scores_gemma":[0.990976,0.004602372,0.002383112,0.0003304478,0.0007358817,0.0009721557],"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":[0.004128183,0.0007032424,0.1091528,0.0003435077,0.0001496894,0.002698215,0.001261318,0.02386715,0.009136937,0.7277513,0.03538152,0.08542625],"study_design_scores_gemma":[0.0005449599,0.0007746417,0.1205847,0.0002847411,0.0003179183,0.001985967,0.003744692,0.1276506,0.005885976,0.7141526,0.02380492,0.0002683342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358858,0.002916841,0.005788502,0.009626063,0.0002452709,0.00002177381,0.000688407,0.000202128,0.04462525],"genre_scores_gemma":[0.9947963,0.0002372328,0.00009682716,0.0001347381,0.0001212022,0.000002243407,0.00008394633,0.00001017928,0.004517389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01742493,"threshold_uncertainty_score":0.05829221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005727970017811789,"score_gpt":0.2011830474721667,"score_spread":0.1954550774543549,"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."}}