{"id":"W1128750296","doi":"10.71781/10582","title":"Tactical Vehicle Routing Planning with Application to Milk Collection and Distribution","year":2013,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vehicle routing problem; Routing (electronic design automation); Distribution (mathematics); Computer science; Operations research; Transport engineering; Engineering; Computer network; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005799444,0.0007704073,0.0006554486,0.000593913,0.0007795725,0.001436768,0.001064656,0.001132638,0.004121396],"category_scores_gemma":[0.001551687,0.0004030399,0.0006644223,0.001631855,0.0007269983,0.0008394408,0.0009374142,0.001213402,0.0003993545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855059,"about_ca_system_score_gemma":0.002885858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07253747,"about_ca_topic_score_gemma":0.07130981,"domain_scores_codex":[0.9996208,0.0000997145,0.00001766665,0.00007667515,0.0001200472,0.00006511706],"domain_scores_gemma":[0.9993786,0.0003052838,0.00005569342,0.00003979258,0.000172434,0.00004828136],"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":[0.00002973688,0.00002833699,0.0004634155,0.0001014238,0.00001715391,0.00009281706,0.00007443358,0.9424925,0.0009776328,0.01309933,0.001229126,0.04139405],"study_design_scores_gemma":[0.000004925652,0.00002478308,0.0002089078,0.00001156381,0.000006694639,0.00002254254,0.00005044382,0.9894155,0.0003170389,0.006071664,0.003860414,0.000005592695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02871549,0.001094362,0.9531597,0.0007363413,0.0001047585,0.0001084463,0.0002315743,0.0005624508,0.01528695],"genre_scores_gemma":[0.6295862,0.002247785,0.3480802,0.000159726,0.00009458292,0.000237389,0.0005219663,0.0001893037,0.01888288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07253747,"threshold_uncertainty_score":0.1442305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215227985880173,"score_gpt":0.2711985828826993,"score_spread":0.2590463030238976,"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."}}