{"id":"W4378070430","doi":"10.1155/2023/8251433","title":"Impacts of the Feeder-Related Built Environment on Taxi-Metro Integrated Use in Lanzhou, China","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gansu Education Department; National Natural Science Foundation of China","keywords":"Transport engineering; China; Rush hour; TRIPS architecture; Land use; Metro station; Built environment; Public transport; Mode (computer interface); Business; Geography; Engineering; Computer science; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755349,0.0002889837,0.0001686859,0.0008000565,0.0006714317,0.0006984204,0.000297027,0.0001581043,0.001907411],"category_scores_gemma":[0.0006451771,0.0001418118,0.0004559513,0.001351254,0.0004802141,0.0003286328,0.0008513085,0.0002154289,0.0001043838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952195,"about_ca_system_score_gemma":0.001572919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.221084,"about_ca_topic_score_gemma":0.3716555,"domain_scores_codex":[0.9997047,0.00006926078,0.00002153419,0.00005799308,0.00005286169,0.00009354687],"domain_scores_gemma":[0.999478,0.00007034486,0.0001625556,0.00003161361,0.0001061662,0.0001513977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003822651,0.00003397761,0.9933575,0.0000185396,0.00006220048,0.0002144821,0.0006553271,0.0003636907,0.0004123004,0.0001674934,0.0001821653,0.004494081],"study_design_scores_gemma":[0.00000179092,0.0000215751,0.9983301,0.000005010837,0.0000147951,0.00003046933,0.0008814881,0.0004127732,0.00003910519,0.00002125447,0.0002377934,0.000003891874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993159,0.00005373308,0.00003791969,0.00003863773,0.000001674267,0.000003890493,0.0001441278,0.000003214397,0.00040096],"genre_scores_gemma":[0.9995992,0.00004597644,0.00002620163,0.000004549854,0.000001177243,0.000003250924,0.000131311,8.689246e-7,0.0001874692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.221084,"threshold_uncertainty_score":0.4395943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756757993250471,"score_gpt":0.2849945175986115,"score_spread":0.2674269376661068,"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."}}