{"id":"W3127588010","doi":"10.1287/msom.2020.0960","title":"Surge Pricing and Two-Sided Temporal Responses in Ride Hailing","year":2021,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Surge; Pricing strategies; Economics; Microeconomics; Dynamic pricing; Value (mathematics); Business; Marketing; Computer science; Engineering","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":[0.002815253,0.0008408317,0.001084589,0.0006250752,0.0006828903,0.001983429,0.002095497,0.003121311,0.01441125],"category_scores_gemma":[0.01523514,0.0006275031,0.001286053,0.0006415267,0.001880988,0.003079479,0.001672672,0.002397938,0.0007157646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510357,"about_ca_system_score_gemma":0.001086407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003821081,"about_ca_topic_score_gemma":0.001990484,"domain_scores_codex":[0.9986091,0.0005720794,0.0000542154,0.0003123858,0.0001480937,0.0003041285],"domain_scores_gemma":[0.9917296,0.005596692,0.001424011,0.000270079,0.0005179597,0.0004617718],"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":[0.001018673,0.0007739958,0.02407814,0.001079202,0.0003498551,0.001995721,0.001484632,0.4521116,0.007889368,0.4584373,0.00756562,0.04321579],"study_design_scores_gemma":[0.00008985856,0.0004342598,0.006749652,0.00009173877,0.0001144997,0.0004870191,0.001470604,0.8013313,0.0008715136,0.1856165,0.002645459,0.00009745306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5731683,0.001347112,0.3657634,0.004955151,0.0002611957,0.0005361489,0.0007496057,0.0002824255,0.05293665],"genre_scores_gemma":[0.9880478,0.0002992203,0.005532792,0.0001770004,0.00005969767,0.0001205306,0.00007643944,0.00001954832,0.005666983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01441125,"threshold_uncertainty_score":0.04821038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270077899497341,"score_gpt":0.2350989768044004,"score_spread":0.222398197809427,"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."}}