{"id":"W4299395974","doi":"","title":"A Heuristic for the Time-Dependent Vehicle Routing Problem with Time Windows","year":2016,"lang":"en","type":"book","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Heuristic; Computer science; Vehicle routing problem; Routing (electronic design automation); Mathematical optimization; Computer network; Mathematics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005330944,0.0004265769,0.0004264225,0.0001242712,0.0004445073,0.0002877373,0.0009968325,0.0002720408,0.0002298365],"category_scores_gemma":[0.0007453348,0.0003211232,0.0001597253,0.0001947884,0.0001741397,0.0001303235,0.0002255132,0.0004448316,0.0003120609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978765,"about_ca_system_score_gemma":0.0002720994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001871192,"about_ca_topic_score_gemma":0.00004980281,"domain_scores_codex":[0.9966285,0.001380962,0.0005376921,0.0005358615,0.0004363269,0.0004807071],"domain_scores_gemma":[0.9919203,0.004903791,0.0003492672,0.001488566,0.00120059,0.0001375089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002467727,0.0007860257,0.0004263892,0.002470518,0.003098536,0.00003698053,0.02259038,0.1440692,0.01791072,0.1013569,0.127178,0.5798296],"study_design_scores_gemma":[0.001784432,0.000002240388,0.00005886851,0.004083144,0.0002959786,0.00003340458,0.00002507654,0.8564819,0.008403699,0.002436083,0.1252737,0.001121474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0000648655,0.0005307957,0.6972363,0.001696353,0.00008355069,0.001170424,0.0001106593,0.0007425208,0.2983645],"genre_scores_gemma":[0.003393637,0.0001458176,0.1350271,0.00006571939,0.0001023282,0.0002292636,0.0002432186,0.000308441,0.8604845],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7124128,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008809374254177509,"score_gpt":0.2087855742957374,"score_spread":0.1999762000415598,"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."}}