{"id":"W4226279598","doi":"10.2139/ssrn.4006574","title":"The Liquidity Premium of Digital Payment Vehicle","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Payment; Business; Market liquidity; Liquidity premium; Monetary economics; Liquidity risk; Economics; 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":[0.00119078,0.0002694984,0.0005019148,0.001693726,0.0005836224,0.004633739,0.0005820129,0.002105328,0.01537475],"category_scores_gemma":[0.01397477,0.0002741573,0.0002782277,0.0009467572,0.001067206,0.0047334,0.001056056,0.002011681,0.001165543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466842,"about_ca_system_score_gemma":0.000653407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995578,"about_ca_topic_score_gemma":0.001511827,"domain_scores_codex":[0.9993412,0.0001193337,0.00003279991,0.0000939394,0.0001822597,0.0002304873],"domain_scores_gemma":[0.9909084,0.004996028,0.002024796,0.0003701391,0.0007858149,0.0009147912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003888194,0.0005522544,0.05984827,0.0003088829,0.0001052997,0.002103423,0.001150899,0.01904783,0.01588131,0.7925779,0.01946505,0.08507059],"study_design_scores_gemma":[0.0003858468,0.0006363768,0.09381941,0.0002392722,0.0002295828,0.001994828,0.002450874,0.1193159,0.007350131,0.7590997,0.01423739,0.0002407842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498348,0.001815715,0.005155614,0.004201084,0.0001561687,0.0000152066,0.0004024356,0.0001818641,0.03823712],"genre_scores_gemma":[0.9961087,0.0001348852,0.000094961,0.00006605258,0.00008524255,0.000001684325,0.00005601941,0.000009975054,0.003442599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01537475,"threshold_uncertainty_score":0.05143368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268525832975762,"score_gpt":0.1824188452524139,"score_spread":0.1741503194194381,"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."}}