{"id":"W3033407562","doi":"10.3386/w28133","title":"Consumer Surplus of Alternative Payment Methods: Paying Uber with Cash","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Economic surplus; Cash; Economics; Business; Commerce; Microeconomics; Finance; Welfare","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":[0.00430343,0.0005127794,0.0006802191,0.001237898,0.00055153,0.001872119,0.0009869396,0.0009779,0.009499119],"category_scores_gemma":[0.01618875,0.0003213011,0.001037052,0.001264938,0.0009857251,0.001996196,0.000931513,0.001125837,0.0006366622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002048383,"about_ca_system_score_gemma":0.000755276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0189299,"about_ca_topic_score_gemma":0.0147104,"domain_scores_codex":[0.9972659,0.001291934,0.0001231501,0.0003603897,0.0007041856,0.0002544879],"domain_scores_gemma":[0.9818497,0.01072825,0.004179025,0.001684559,0.001271863,0.0002866501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008985823,0.003630753,0.7340037,0.0009319024,0.001696661,0.0003771254,0.0008377513,0.07816549,0.002497698,0.02647175,0.005532883,0.1368684],"study_design_scores_gemma":[0.0008908856,0.005066109,0.8226137,0.0002639084,0.0009793949,0.0003401035,0.001483592,0.1402412,0.003177228,0.01111473,0.01368068,0.0001484601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801256,0.0004257727,0.00515769,0.0002655956,0.00002463916,0.0003590511,0.001862334,0.00003736934,0.01174197],"genre_scores_gemma":[0.9913106,0.000144955,0.003241473,0.00005523607,0.00001684978,0.0002197094,0.001095809,0.000005362838,0.003909923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0189299,"threshold_uncertainty_score":0.03763944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3875310748966406,"score_gpt":0.5320207839769061,"score_spread":0.1444897090802655,"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."}}