{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001723014,0.0005901667,0.001030688,0.00259002,0.0001604879,0.00006641874,0.0007786726,0.001075724,0.0004326952],"category_scores_gemma":[0.00002646875,0.0006404655,0.0002771963,0.0005018295,0.0008747777,0.0001718934,0.000004512142,0.003280161,0.0001416975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849949,"about_ca_system_score_gemma":0.0005564101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009993511,"about_ca_topic_score_gemma":0.003016449,"domain_scores_codex":[0.9936403,0.0002284569,0.001602836,0.0007504026,0.002467259,0.001310714],"domain_scores_gemma":[0.9968265,0.001183869,0.0001299511,0.0007543756,0.0007631892,0.0003421725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001540093,0.0007810415,0.0328285,0.03583854,0.002190731,0.004803946,0.044282,0.03167105,0.00752605,0.3463946,0.4618483,0.03029515],"study_design_scores_gemma":[0.005146305,0.001198204,0.2149364,0.01804578,0.0006764632,0.000002856973,0.002257635,0.005602806,0.02896941,0.09463993,0.6228012,0.005723006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03168293,0.00261626,0.001444228,0.00004674937,0.0004732155,0.003249387,0.001581918,0.0005587141,0.9583466],"genre_scores_gemma":[0.8377693,0.0005183921,0.00113049,0.00001015116,0.000371103,0.0008929592,0.001357383,0.000436075,0.1575142],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8060863,"threshold_uncertainty_score":0.9996046,"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."}}