{"id":"W2972564555","doi":"10.1093/jeg/lbaa037","title":"The congestion relief benefit of public transit: evidence from Rome","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Danmarks Tekniske Universitet; Vysoké Učení Technické v Brně; University of California, Irvine; University of Toronto; Newcastle University; Institut d'Economia de Barcelona; London School of Economics and Political Science","keywords":"Public transport; Transport engineering; Public authority; Transit (satellite); Business; Passenger transport; Service (business); Travel time; Advertising; Marketing; Engineering; Political science; Public administration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002057052,0.0003523612,0.0007848743,0.0006651646,0.0003011126,0.0008416164,0.0005985918,0.0006145756,0.004713123],"category_scores_gemma":[0.007610503,0.0002934856,0.001171593,0.0009040323,0.001730362,0.0003708523,0.0007224948,0.0007997387,0.0005449501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008942918,"about_ca_system_score_gemma":0.0004317167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02715123,"about_ca_topic_score_gemma":0.02296725,"domain_scores_codex":[0.9970216,0.00205979,0.00008883131,0.0003097272,0.000215334,0.000304705],"domain_scores_gemma":[0.9840506,0.008463817,0.00543401,0.001109093,0.0004083029,0.000534155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02587401,0.0039587,0.8665802,0.002706013,0.005220933,0.00176017,0.001001178,0.02080045,0.001707841,0.005814202,0.02004156,0.04453477],"study_design_scores_gemma":[0.001572523,0.001916097,0.9858558,0.0001703536,0.001125815,0.0001454951,0.0008027805,0.002516654,0.0004210501,0.0003957637,0.005043134,0.00003457518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801626,0.003361436,0.0004453812,0.002199742,0.00007851783,0.00005094486,0.001918177,0.00003577349,0.01174744],"genre_scores_gemma":[0.9981226,0.0003998748,0.00006397079,0.000149954,0.00005113545,0.00001416249,0.0005993143,0.000004431742,0.0005944548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715123,"threshold_uncertainty_score":0.05398637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120234224685214,"score_gpt":0.2681091484339756,"score_spread":0.2269068061871234,"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."}}