{"id":"W3216675394","doi":"10.1177/03611981211051620","title":"Modeling the Demand for Shared E-Scooter Services","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Negative binomial distribution; Count data; Statistics; Econometrics; Goodness of fit; Population; Mathematics; Demography; Poisson distribution","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001392736,0.0007569964,0.000671537,0.000756492,0.000348837,0.001473686,0.002119626,0.001219958,0.003289718],"category_scores_gemma":[0.004406708,0.0006393419,0.0009467138,0.001365279,0.0005544643,0.001388823,0.001029343,0.001190469,0.0003812845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002541445,"about_ca_system_score_gemma":0.001525693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1057584,"about_ca_topic_score_gemma":0.07427204,"domain_scores_codex":[0.9991456,0.0002881591,0.0000402995,0.0002332317,0.0001034762,0.0001892172],"domain_scores_gemma":[0.9971831,0.001897023,0.0003931265,0.0001112589,0.0002806544,0.0001348118],"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":[0.0001786665,0.0002404427,0.07358364,0.00007029722,0.0001049826,0.0002864044,0.0003219318,0.906079,0.0009123317,0.008364929,0.001103165,0.008754272],"study_design_scores_gemma":[0.000005714995,0.00002656629,0.005463628,0.000004642834,0.000009554992,0.00001873419,0.0001824265,0.9927671,0.00005898307,0.001109344,0.0003463371,0.000007100884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562159,0.0002614723,0.03785269,0.0006118607,0.00003110554,0.00006173097,0.001996563,0.00009749154,0.00287125],"genre_scores_gemma":[0.9903224,0.0001610659,0.004891235,0.00003675697,0.00001544657,0.00005890222,0.001335564,0.00002222964,0.003156381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1057584,"threshold_uncertainty_score":0.2102857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343864233976619,"score_gpt":0.4312455959557341,"score_spread":0.2968591725580723,"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."}}