{"id":"W4403487090","doi":"10.1287/mnsc.2022.03201","title":"Trading Flexibility for Adoption: From Dynamic to Static Walking in Ride-Sharing","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flexibility (engineering); Computer science; Business; Microeconomics; Industrial organization; Economics; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.0004846902,0.00006968999,0.00006269864,0.000327014,0.00006713626,0.0001400915,0.0001935044,0.00001099073,0.00003402434],"category_scores_gemma":[0.00001206782,0.00007703369,0.00001992185,0.001209031,0.00003084725,0.00031292,0.00001779541,0.00005388704,0.00001963058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170425,"about_ca_system_score_gemma":0.000008481625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314016,"about_ca_topic_score_gemma":0.0002023992,"domain_scores_codex":[0.9991352,0.000002008067,0.0002096379,0.0003026718,0.000154973,0.0001954964],"domain_scores_gemma":[0.999734,0.00003174782,0.000006170391,0.0001769106,0.00001357002,0.00003758629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001206658,0.00006823403,0.003903777,0.001283166,0.00005136064,0.00002319455,0.007962232,0.5849518,0.01515577,0.1611911,0.0003657334,0.2250316],"study_design_scores_gemma":[0.0001058639,0.000007901986,0.08088331,0.0001379416,0.00001006794,1.070548e-7,0.0005021031,0.9075063,0.0002485718,0.008552551,0.001920062,0.0001251961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6266758,0.00002556983,0.3702191,0.0002260029,0.0004578631,0.000421636,0.00001884978,0.0003930963,0.001562128],"genre_scores_gemma":[0.9835579,0.000004150473,0.01614924,0.00006992427,0.000009311342,0.0001121745,0.000009119122,0.00001054402,0.00007762523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3568821,"threshold_uncertainty_score":0.3141343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404739302627285,"score_gpt":0.2963232654458374,"score_spread":0.2722758724195646,"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."}}