{"id":"W2340673265","doi":"10.2139/ssrn.2657197","title":"An Empirical Analysis of Bike Sharing Usage and Rebalancing: Evidence from Barcelona and Seville","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Bike sharing; Car sharing; Empirical evidence; Business; Regional science; Geography; Advertising; Transport engineering; 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":[0.002312616,0.0003918245,0.0006850038,0.001816757,0.001408171,0.002137506,0.002183414,0.0009887593,0.004193714],"category_scores_gemma":[0.007462374,0.0004242176,0.0004772946,0.003399516,0.001397459,0.001053189,0.001804268,0.001152976,0.0009948398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003631194,"about_ca_system_score_gemma":0.002097829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3654197,"about_ca_topic_score_gemma":0.4737445,"domain_scores_codex":[0.9977679,0.0009669641,0.0001087422,0.0004041961,0.0003447013,0.0004075198],"domain_scores_gemma":[0.9906345,0.00400329,0.001657241,0.0006535553,0.002403626,0.0006477183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001108714,0.00079521,0.9676627,0.0001730382,0.0002475619,0.0003894685,0.01137263,0.0008257165,0.0005432463,0.0008534202,0.002448698,0.01357947],"study_design_scores_gemma":[0.00004912548,0.0001691968,0.9698504,0.00007445765,0.00006981753,0.00005417121,0.0261748,0.0007117314,0.0001056958,0.0001103012,0.002608382,0.00002180369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996811,0.0002407487,0.0001313652,0.0001102577,0.000006716808,0.00001114504,0.0004009399,0.00000730257,0.002280454],"genre_scores_gemma":[0.9971641,0.0001171594,0.0001644542,0.00004947385,0.000004727674,0.00002128195,0.001062085,0.000008150594,0.001408601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3654197,"threshold_uncertainty_score":0.7265854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05089501902513446,"score_gpt":0.3593147709895098,"score_spread":0.3084197519643754,"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."}}