{"id":"W4401946718","doi":"10.3390/su16177454","title":"Environmental Impacts of Transportation Network Company (TNC)/Ride-Hailing Services: Evaluating Net Vehicle Miles Traveled and Greenhouse Gas Emission Impacts within San Francisco, Los Angeles, and Washington, D.C. Using Survey and Activity Data","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hewitt Foundation","keywords":"Metropolitan area; Vehicle miles of travel; Greenhouse gas; Transport engineering; Geography; Agricultural economics; Population; Engineering; Business; Environmental science; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001662797,0.0002625495,0.0003417744,0.00009237354,0.0001764515,0.00009452499,0.0001122758,0.0001305461,0.00001276044],"category_scores_gemma":[0.0001037768,0.0002645285,0.000026299,0.0003418847,0.0001674368,0.0007923203,0.00002878453,0.0002829676,6.38086e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174917,"about_ca_system_score_gemma":0.0001379681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585331,"about_ca_topic_score_gemma":0.0116893,"domain_scores_codex":[0.9982303,0.0001493362,0.0005518514,0.0004895078,0.0002502372,0.0003287996],"domain_scores_gemma":[0.9989375,0.0003050719,0.00009872802,0.0003941984,0.0000938377,0.0001706363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002438627,0.0001300636,0.8598235,0.006564635,0.0001373011,0.00001146891,0.008402213,0.03859739,0.06952395,0.00004033201,0.00003505589,0.01649025],"study_design_scores_gemma":[0.00038898,0.0000532327,0.7013158,0.000152798,0.00006982052,0.000002865267,0.001055337,0.2951499,0.001372641,0.0002467885,0.000009120196,0.0001826452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995107,0.001425011,0.001271378,0.00002288931,0.00007567734,0.0006173844,0.001338165,0.000140862,0.000001647257],"genre_scores_gemma":[0.9985169,0.00008099814,0.0007998166,0.0000109721,0.00003450473,0.000006242957,0.0005093833,0.00004010293,0.000001115385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2565525,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479318695949441,"score_gpt":0.2900257734843963,"score_spread":0.2652325865249019,"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."}}