{"id":"W2600655166","doi":"","title":"A Solution Method for a Car Fleet Management Problem with Maintenance Constraints","year":2006,"lang":"en","type":"article","venue":"Archive ouverte UNIGE (University of Geneva)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Renting; Computer science; Competitor analysis; Operations research; Tabu search; Stockout; Mathematical optimization; Engineering; Mathematics; Business; Algorithm; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000849575,0.0008397211,0.000760592,0.001179463,0.0007392245,0.001117438,0.001470592,0.001719253,0.007787774],"category_scores_gemma":[0.002339136,0.0005665508,0.0009436665,0.00186574,0.0004727519,0.000994621,0.0009179053,0.001182446,0.001024441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000805618,"about_ca_system_score_gemma":0.001604926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003687373,"about_ca_topic_score_gemma":0.004278391,"domain_scores_codex":[0.999582,0.0001457707,0.00001767201,0.0000891967,0.0001113887,0.00005400728],"domain_scores_gemma":[0.9994259,0.0003806921,0.00003881421,0.00003705998,0.00009076577,0.00002675958],"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":[0.0001331138,0.0001817016,0.000433133,0.00040355,0.00006850618,0.0001812153,0.0001844727,0.6193913,0.003743818,0.04918002,0.0141285,0.3119707],"study_design_scores_gemma":[0.00006735561,0.00005176277,0.00007953759,0.00002587224,0.0000147981,0.00007644629,0.00003713892,0.9824188,0.0007807306,0.0101463,0.006291207,0.00001006263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007925659,0.0002542633,0.9850343,0.0002819551,0.00007750342,0.0001797637,0.0001416779,0.0005402575,0.005564602],"genre_scores_gemma":[0.07173612,0.0002456067,0.9218962,0.0001020736,0.0000502808,0.0005114033,0.0002748522,0.0001579153,0.005025563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007787774,"threshold_uncertainty_score":0.02605265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007470868014500835,"score_gpt":0.1990185386360051,"score_spread":0.1915476706215043,"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."}}