{"id":"W2370292695","doi":"10.1287/trsc.2016.0681","title":"<i>Transportation Science</i> Special Issue on Freight Transportation and Logistics, Part I","year":2016,"lang":"en","type":"article","venue":"Transportation Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Transport engineering; Traffic management; Engineering; Operations research; Business","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":[0.001372594,0.002613668,0.002494267,0.006135518,0.001850249,0.006392732,0.00187569,0.00384029,0.08726811],"category_scores_gemma":[0.003216571,0.0005491949,0.001686418,0.00547975,0.00141798,0.003235367,0.001763946,0.003204417,0.04489972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002953034,"about_ca_system_score_gemma":0.00322074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005211926,"about_ca_topic_score_gemma":0.01243368,"domain_scores_codex":[0.9986603,0.000125465,0.0001011039,0.0002032913,0.0007418444,0.000168088],"domain_scores_gemma":[0.9965793,0.0005926696,0.0002901321,0.0002695327,0.001789845,0.0004784144],"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":[0.00001917564,0.00001547351,0.00007444304,0.0001987711,0.000007816349,0.00002165798,0.00000659021,0.00007025692,0.0002210944,0.001294949,0.9852448,0.01282492],"study_design_scores_gemma":[0.000005518889,0.00004109781,0.001161645,0.00023778,0.00001647804,0.00009056529,0.00002794284,0.0002093075,0.0002543535,0.001748919,0.9961947,0.00001170403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005920002,0.04210014,0.001731808,0.02684183,0.77557,0.0001355486,0.001145508,0.0003103393,0.1515729],"genre_scores_gemma":[0.006051898,0.05194764,0.001259787,0.01158638,0.5925267,0.0001844401,0.002646988,0.0006487911,0.3331473],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08726811,"threshold_uncertainty_score":0.2919409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161084982704336,"score_gpt":0.2199894079949208,"score_spread":0.1983785581678775,"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."}}