{"id":"W1942124306","doi":"","title":"Moving freight inside cross docking terminals","year":2010,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transshipment (information security); Consolidation (business); Computer science; Transport engineering; Business; Engineering; Computer security","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":[0.0004044773,0.001001194,0.0008738363,0.0004334152,0.001373234,0.002757736,0.001388662,0.003051027,0.009726703],"category_scores_gemma":[0.001182955,0.0007437139,0.0009571001,0.0005940888,0.001259388,0.003254112,0.001832659,0.001345937,0.00116164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002301468,"about_ca_system_score_gemma":0.001337428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02637863,"about_ca_topic_score_gemma":0.01203062,"domain_scores_codex":[0.9995558,0.00009167461,0.000008252831,0.0001401647,0.0000777436,0.000126418],"domain_scores_gemma":[0.9997388,0.00006946093,0.00006083611,0.00002843532,0.00004357084,0.00005893852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006544387,0.00002792668,0.0006663126,0.00001893911,0.000009208171,0.0002467716,0.00005718119,0.9686083,0.001924076,0.02382166,0.001065546,0.003488614],"study_design_scores_gemma":[0.00001367527,0.00005369101,0.0003475765,0.00001141937,0.000009028961,0.00005711412,0.00006352998,0.9923495,0.0007912435,0.004346016,0.001941224,0.00001603975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2907476,0.000443728,0.6539019,0.001505632,0.0002807882,0.0001287018,0.000389663,0.0004874367,0.05211462],"genre_scores_gemma":[0.9486544,0.000318631,0.01690886,0.0001068461,0.00003167451,0.00006494778,0.0002010171,0.0000656397,0.03364805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02637863,"threshold_uncertainty_score":0.05245018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070232340457695,"score_gpt":0.2574174238216123,"score_spread":0.2467151004170354,"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."}}