{"id":"W591225256","doi":"10.17226/22573","title":"Synthesis of Freight Research in Urban Transportation Planning","year":2013,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Metropolitan area; Truck; Transport engineering; Business; Traffic congestion; City logistics; Mile; Last mile (transportation); Traffic management; Engineering; Geography","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":[0.001636164,0.0007436707,0.0006554496,0.0049789,0.001089045,0.005170489,0.0008869172,0.001200928,0.02422553],"category_scores_gemma":[0.003180313,0.0003790297,0.0004957606,0.01847308,0.001812407,0.00433232,0.001197292,0.001412879,0.002819204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007272108,"about_ca_system_score_gemma":0.006299115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02350176,"about_ca_topic_score_gemma":0.03166684,"domain_scores_codex":[0.9992647,0.0002868843,0.00004821581,0.00007900762,0.0002567429,0.00006448291],"domain_scores_gemma":[0.9979892,0.001434422,0.00006073225,0.00008017163,0.0003905008,0.00004512769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001844874,0.00003374468,0.0002039944,0.003521823,0.00002031844,0.0001181164,0.001271413,0.005746915,0.00007819482,0.3316643,0.2436866,0.4136362],"study_design_scores_gemma":[0.000002632049,0.000008120708,0.0004219607,0.00324467,0.000009846385,0.00004550036,0.001023623,0.0005186509,0.00007729965,0.04127173,0.9533663,0.000009637162],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001841753,0.6786132,0.01556244,0.02352714,0.003248604,0.00005771944,0.0008197937,0.0001376348,0.2761917],"genre_scores_gemma":[0.03290217,0.8970734,0.0112776,0.002598697,0.002019611,0.0001413308,0.001052284,0.0001162346,0.05281861],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02422553,"threshold_uncertainty_score":0.08104247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194778006539211,"score_gpt":0.3154864414692216,"score_spread":0.1960086408153005,"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."}}