{"id":"W4393398302","doi":"","title":"Solving vehicle routing problems with synchronization constraints : applications to multi-echelon distribution systems and to cross-dockin","year":2015,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Vehicle routing problem; Synchronization (alternating current); Routing (electronic design automation); Computer science; Operations research; Distributed computing; Mathematical optimization; Engineering; Computer network; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.0006503345,0.0006193024,0.000580569,0.0001316854,0.0003829594,0.0005278223,0.0003234251,0.0004171291,0.00001783619],"category_scores_gemma":[0.0003178095,0.00065003,0.00004691494,0.0003725981,0.0002019274,0.0002516925,0.0003806972,0.0005974919,0.0001036865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268078,"about_ca_system_score_gemma":0.0001261028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424154,"about_ca_topic_score_gemma":0.0001310595,"domain_scores_codex":[0.997218,0.00009992188,0.0006995666,0.0009003048,0.0003654742,0.0007168074],"domain_scores_gemma":[0.9978547,0.0001538066,0.0002848461,0.0006668657,0.0005628866,0.0004768729],"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":[0.00001884919,0.00007243614,0.001168248,0.0007952466,0.00007850553,0.000004026795,0.002378026,0.9679092,0.0003580296,0.01842292,0.00001357294,0.008780953],"study_design_scores_gemma":[0.001174522,0.000161371,0.003706832,0.002858669,0.000209943,0.00004448897,0.001593451,0.9783787,0.001608917,0.0007543395,0.007983004,0.001525819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01381398,0.0006080329,0.979665,0.000145181,0.0004658522,0.002888462,0.000526643,0.0005299774,0.001356887],"genre_scores_gemma":[0.950391,0.000126029,0.04729845,0.00001769752,0.0003202147,0.0007558695,0.0007695648,0.0001344117,0.0001867619],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.936577,"threshold_uncertainty_score":0.9995951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150836087379384,"score_gpt":0.278437394932761,"score_spread":0.2469290340589672,"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."}}