{"id":"W1977973577","doi":"10.3138/infor.51.1.41","title":"Hybridation de l’algorithme de colonie de Fourmis avec l’algorithme de recherche à grand Voisinage pour la résolution du VRPTW statique et dynamique","year":2013,"lang":"fr","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Vehicle routing problem; Philosophy; Computer science; Routing (electronic design automation)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02772421,0.0003317523,0.0003417877,0.0006009139,0.0005981782,0.002295306,0.0002934502,0.0008596813,0.0001679058],"category_scores_gemma":[0.005137139,0.0003711761,0.00008059912,0.0006865899,0.0001674823,0.004389145,0.0001245221,0.001552544,0.0002043064],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003852552,"about_ca_system_score_gemma":0.003014388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007253649,"about_ca_topic_score_gemma":0.0001131337,"domain_scores_codex":[0.9925846,0.004132151,0.001128952,0.0002390892,0.0008488889,0.001066248],"domain_scores_gemma":[0.9939037,0.003031232,0.0002123105,0.0002747665,0.002092881,0.0004851371],"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":[0.00005083378,0.00006620376,0.002165797,0.001255434,0.0001199507,0.00001164443,0.01874569,0.8134069,0.001128541,0.1067474,0.009214053,0.04708745],"study_design_scores_gemma":[0.00108406,0.00009270354,0.009261996,0.0003648654,0.00001647151,0.0006415778,0.001719172,0.9549825,0.0005730336,0.002169637,0.02874415,0.0003498112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0518145,0.0003793217,0.9286192,0.00719429,0.0002267918,0.001434154,0.0001936909,0.0001533591,0.00998467],"genre_scores_gemma":[0.4275742,0.002572719,0.5613946,0.0006117758,0.0005764166,0.001121303,0.0006135647,0.00008942438,0.005445977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3757597,"threshold_uncertainty_score":0.9999715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09913689856119007,"score_gpt":0.3949798487531855,"score_spread":0.2958429501919955,"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."}}