{"id":"W3134771236","doi":"10.1371/journal.pone.0247431","title":"Impact of the mixed degree of urban functions on the taxi travel demand","year":2021,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Education Department of Shaanxi Province","keywords":"Taxis; Kernel density estimation; Geography; Ordinary least squares; Computer science; Transport engineering; Degree (music); Geographic information system; Econometrics; Statistics; Mathematics; Cartography; 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":[0.000623983,0.0003786964,0.0002807838,0.0007915636,0.0004681524,0.001355017,0.0003700545,0.0003279546,0.001656108],"category_scores_gemma":[0.004575589,0.0002369976,0.0006610967,0.00101264,0.0007114951,0.001528372,0.001391507,0.0005111044,0.0001490424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009792276,"about_ca_system_score_gemma":0.0004865064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177548,"about_ca_topic_score_gemma":0.01216109,"domain_scores_codex":[0.9992397,0.0002718684,0.00004201532,0.0001094561,0.0001783174,0.0001585917],"domain_scores_gemma":[0.9971638,0.001436266,0.0003527016,0.0002627347,0.0005732985,0.0002111809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005156284,0.0001202737,0.6378068,0.0001544403,0.0002974485,0.001352975,0.001128529,0.2967827,0.00677259,0.01485441,0.001166628,0.03904764],"study_design_scores_gemma":[0.00001537582,0.0001645236,0.505523,0.00004267693,0.0001889703,0.0005634228,0.003675899,0.4745041,0.003804203,0.007736326,0.003689538,0.00009203275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9910212,0.0001303944,0.005693284,0.0001279503,0.000007451032,0.00001172272,0.0001795182,0.00002877886,0.002799692],"genre_scores_gemma":[0.9993238,0.00004428539,0.0003225884,0.000005050288,0.000002550619,0.000002687934,0.0000651901,0.000004746035,0.00022905],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01177548,"threshold_uncertainty_score":0.0234139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2153708477709769,"score_gpt":0.3431810604903899,"score_spread":0.127810212719413,"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."}}