{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006080929,0.0001614278,0.0001568434,0.00004513579,0.000136369,0.0001860663,0.00008777648,0.0001423751,0.00003564298],"category_scores_gemma":[0.00003221571,0.0001606725,0.000009484975,0.0001247834,0.000008001878,0.0001718633,0.00001775111,0.0001735619,0.00004139631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049678,"about_ca_system_score_gemma":0.00001830117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000429113,"about_ca_topic_score_gemma":0.00005312335,"domain_scores_codex":[0.9993331,0.000009165577,0.000157277,0.0002522407,0.00009555262,0.0001526107],"domain_scores_gemma":[0.9996575,0.00003350598,0.000059646,0.0001201895,0.00005645894,0.00007274358],"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":[0.0001585,0.0000248126,0.0001460602,0.00008472754,0.00005001268,0.000003001188,0.001386368,0.8889998,0.002036957,0.00007766467,0.0005707176,0.1064613],"study_design_scores_gemma":[0.001447589,0.0003712236,0.01754486,0.0008015384,0.0002860388,0.00002230026,0.003181726,0.8475828,0.1025891,0.0002914022,0.02413896,0.001742517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3994015,0.00005963678,0.5904217,0.00002170127,0.0001883655,0.001135833,0.0000343526,0.00003246637,0.008704374],"genre_scores_gemma":[0.9768417,0.00001213915,0.01894736,0.000003846968,0.00005604127,0.0001392086,0.002370491,0.00003801128,0.001591193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5774401,"threshold_uncertainty_score":0.6552032,"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."}}