{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003166105,0.0006881456,0.0006817748,0.0007353303,0.0008651843,0.002528343,0.001544056,0.001416766,0.004544431],"category_scores_gemma":[0.02253124,0.000440394,0.00072001,0.001215668,0.001417934,0.004544062,0.002198163,0.001715788,0.0004764703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292957,"about_ca_system_score_gemma":0.0008482671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276151,"about_ca_topic_score_gemma":0.01363549,"domain_scores_codex":[0.9978824,0.001069986,0.00006731614,0.0004375371,0.0001970079,0.0003457238],"domain_scores_gemma":[0.9912709,0.005549297,0.0009702395,0.001204646,0.0004294499,0.0005755177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001766242,0.001138638,0.2909154,0.0005656785,0.0004116827,0.001055959,0.003393757,0.4243844,0.006844088,0.07084076,0.005288661,0.1933947],"study_design_scores_gemma":[0.0001520082,0.001041943,0.08181474,0.0001811692,0.0002983774,0.0006479499,0.004340065,0.8361822,0.002451112,0.06446899,0.008161657,0.0002597923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436386,0.0005875368,0.04487048,0.001181888,0.00004082049,0.0001392667,0.0004308061,0.0001847649,0.008925919],"genre_scores_gemma":[0.9958085,0.00005787006,0.003621297,0.00004081636,0.000005322464,0.00002116507,0.00006042452,0.00001265604,0.0003719265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276151,"threshold_uncertainty_score":0.02537447,"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."}}