{"id":"W1525298235","doi":"","title":"Economic impact of Light Rail : The results of 15 urban areas in France, Germany, UK and North America","year":2004,"lang":"en","type":"book","venue":"CentAUR (University of Reading)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Business; Investment (military); Car ownership; Agricultural economics; Pedestrian; Economic base analysis; Land Values; Economic impact analysis; Geography; Economic geography; Land use; Transport engineering; Public transport; Economics; Market economy; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009480817,0.0002117448,0.000584481,0.0003333328,0.00007028032,0.00001543154,0.0003794078,0.0001172204,0.0001566086],"category_scores_gemma":[0.000002933942,0.0002089063,0.0002325591,0.00010542,0.0003418349,0.0003355342,0.0001144925,0.0001558719,0.0000236914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766008,"about_ca_system_score_gemma":0.0002529779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522776,"about_ca_topic_score_gemma":0.00500051,"domain_scores_codex":[0.9991752,0.000003873199,0.0002908545,0.0002413504,0.00007537667,0.0002133821],"domain_scores_gemma":[0.9988122,0.00002774628,0.0008209937,0.0002833393,0.00003616121,0.00001954367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001374887,0.0002372929,0.7694487,0.002258847,0.00162376,0.00006880581,0.01678958,0.002642197,0.00009973522,0.007137688,0.1929925,0.00532603],"study_design_scores_gemma":[0.002651949,0.00004768212,0.6505114,0.0005584849,0.0003080021,0.000001500365,0.0008846255,0.0001443116,0.000006540612,0.0006646947,0.3437718,0.0004490561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8071167,0.0001918368,0.000003426184,0.0001448537,0.0001054005,0.0002031966,0.0002190362,0.00001453303,0.192001],"genre_scores_gemma":[0.9543334,0.0003274655,0.00001011359,0.00004063312,0.0001645454,1.529681e-7,0.0002327239,0.00002010645,0.04487086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507792,"threshold_uncertainty_score":0.9913299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006446792219000942,"score_gpt":0.1671122428092188,"score_spread":0.1606654505902178,"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."}}