{"id":"W4285582584","doi":"10.1257/rct.6797-1.0","title":"Consumer Surplus of Alternative Payment Methods: Paying Uber with Cash","year":2020,"lang":"en","type":"dataset","venue":"AEA Randomized Controlled Trials","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Cash; Economic surplus; Economics; Business; Commerce; Finance; Market economy","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":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03849336,0.0008099275,0.02305125,0.0007648859,0.0001193487,0.0001352473,0.0006212828,0.0004019266,0.0008790123],"category_scores_gemma":[0.02685314,0.0005628284,0.002606108,0.0003133708,0.0002344289,0.000118075,0.0001835828,0.0005492676,0.0005534085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175945,"about_ca_system_score_gemma":0.0002331975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273118,"about_ca_topic_score_gemma":0.0002762994,"domain_scores_codex":[0.9851908,0.00573701,0.007231829,0.001006498,0.0001946766,0.0006391761],"domain_scores_gemma":[0.9694194,0.02030585,0.008927903,0.0008889943,0.0001795263,0.0002783979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.3160784,0.0001180213,0.000001578741,0.0003391503,0.01371205,0.00003694211,0.0001687448,0.00004246049,0.000001133895,0.01505082,0.6535426,0.000908135],"study_design_scores_gemma":[0.4673015,0.00009254059,3.09255e-7,0.00009780547,0.001282909,0.000001779679,0.00002482582,0.0001429363,0.00001883675,0.005694618,0.5249779,0.0003640185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000137696,0.00989892,0.01056091,0.00452797,0.001874004,0.01266816,0.9586535,0.00004028433,0.001762455],"genre_scores_gemma":[0.003772253,0.03941835,0.01050802,0.008611429,0.002270635,0.01240024,0.9213212,0.0002411816,0.001456707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1512231,"threshold_uncertainty_score":0.9996823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061276893956362,"score_gpt":0.3669807349822568,"score_spread":0.2608530455866206,"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."}}