{"id":"W2038160064","doi":"10.1109/ieom.2015.7093720","title":"Forest vehicle routing problem solved by New Insertion and meta-heuristics","year":2015,"lang":"en","type":"article","venue":"","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; École de Technologie Supérieure","funders":"","keywords":"Tabu search; Vehicle routing problem; Heuristics; Mathematical optimization; Computer science; Routing (electronic design automation); Mathematics; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.0004131359,0.0001404869,0.0002007257,0.00003778641,0.0000426455,0.00007427148,0.00007352775,0.00007726316,0.00002920717],"category_scores_gemma":[0.000141916,0.00012736,0.00003036718,0.000153327,0.00001513834,0.0001675689,0.00003781434,0.0001123534,0.00001493976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000427788,"about_ca_system_score_gemma":0.00002402597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000986407,"about_ca_topic_score_gemma":0.00002594681,"domain_scores_codex":[0.999217,0.00004408002,0.0002372782,0.000150097,0.0001410123,0.0002104819],"domain_scores_gemma":[0.9995084,0.00005947772,0.00003408959,0.0001397767,0.00005850651,0.0001997175],"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":[0.00001547557,0.00003687072,0.01032836,0.00008083357,0.0005092376,0.000003040268,0.001075237,0.9084679,0.007857139,0.002755007,0.05888333,0.009987515],"study_design_scores_gemma":[0.0004654755,0.00003157075,0.0003911431,0.000003904552,0.0002962786,0.000004306375,0.0000712223,0.9905108,0.003770984,0.00100705,0.003221664,0.0002256216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0475349,0.0004362004,0.9432351,0.0003308124,0.0000996195,0.0002027348,0.000003901207,0.0008099043,0.007346802],"genre_scores_gemma":[0.6218423,0.00001534881,0.3764474,0.00009684241,0.00004993173,0.000008061175,0.00001164421,0.0000451478,0.001483338],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5743074,"threshold_uncertainty_score":0.519359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04826331529118205,"score_gpt":0.2606783955150902,"score_spread":0.2124150802239081,"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."}}