{"id":"W2105277320","doi":"10.3138/infor.45.1.41","title":"Un algorithme de minimisation du transport à vide appliqué à l'industrie forestière","year":2007,"lang":"fr","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Minimisation (clinical trials); Humanities; Computer science; Philosophy; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001409958,0.001201284,0.001385237,0.0008084071,0.0006308318,0.001579514,0.001048861,0.002008101,0.00289175],"category_scores_gemma":[0.002489645,0.0005295885,0.0008992686,0.0009152879,0.0008590832,0.001053572,0.0008288469,0.001176217,0.0003788007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469332,"about_ca_system_score_gemma":0.001625323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079419,"about_ca_topic_score_gemma":0.007206061,"domain_scores_codex":[0.9995042,0.0001722892,0.00002158316,0.0001303584,0.00009278647,0.0000787917],"domain_scores_gemma":[0.999157,0.0005930524,0.00005894288,0.0000365228,0.0001177065,0.00003681464],"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":[0.0001489261,0.00005182127,0.0004665714,0.00008043383,0.00004294422,0.00003206187,0.00005854763,0.9289489,0.001816371,0.006278719,0.0009625054,0.06111224],"study_design_scores_gemma":[0.00002533117,0.000079561,0.0001401942,0.000009649866,0.000008850217,0.00001782672,0.00001633723,0.9958111,0.0007067703,0.002211289,0.0009678959,0.000005182164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03410828,0.0004937845,0.9623444,0.0002245928,0.00007131416,0.00007300032,0.00007678084,0.000336984,0.00227082],"genre_scores_gemma":[0.4317119,0.0006279715,0.5559975,0.0001262531,0.0001001046,0.0002774148,0.0002677424,0.0001990989,0.01069204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01079419,"threshold_uncertainty_score":0.02146274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160118805698877,"score_gpt":0.3296998969432384,"score_spread":0.2880987088862496,"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."}}