{"id":"W4409623120","doi":"10.1080/01605682.2025.2489131","title":"A sustainable facility location problem with vehicle allocation: an urban logistics case study","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Ministério da Ciência, Tecnologia e Inovação; Universidad de La Sabana; Ministerio de Ciencia, Tecnología e Innovación Productiva","keywords":"Facility location problem; City logistics; Purchasing; Green logistics; Scheduling (production processes); Project management; Operations research; Information and Communications Technology; Business; Facility management; Transport engineering; Computer science; Fleet management; Humanitarian Logistics; Operations management; Environmental economics; Process management; Engineering; Marketing; Systems engineering; Economics","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":[0.001921763,0.00009705721,0.0001305667,0.00005283517,0.0005123378,0.0001550904,0.000292594,0.00006102979,0.00001827872],"category_scores_gemma":[0.0001158314,0.00006211046,0.00006176422,0.0006678844,0.0001910737,0.0002963509,0.00003359926,0.0006264921,0.000001574378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004147992,"about_ca_system_score_gemma":0.0007284501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339498,"about_ca_topic_score_gemma":0.0001502603,"domain_scores_codex":[0.998505,0.0001513683,0.0003276505,0.0001124317,0.0006650242,0.0002385327],"domain_scores_gemma":[0.9973646,0.0001287191,0.00003870593,0.0002472115,0.002137956,0.00008277858],"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":[0.000144194,0.001495136,0.06306575,0.0004982786,0.0006652059,0.0006311518,0.01240545,0.8525772,0.0007373668,0.02264179,0.04461849,0.0005199668],"study_design_scores_gemma":[0.008358486,0.00381524,0.07882304,0.0003733945,0.0005290345,0.001427108,0.2025967,0.6591142,0.002226632,0.007658816,0.0339934,0.001083885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868469,0.0005553156,0.1261829,0.001631684,0.000182344,0.001303933,0.00002411188,0.00004974493,0.001601016],"genre_scores_gemma":[0.9963657,0.00002060711,0.001540789,0.00004838394,0.00009646646,0.00001817328,0.000005328397,0.000007669603,0.001896936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193463,"threshold_uncertainty_score":0.394054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779394669206223,"score_gpt":0.3182567037726488,"score_spread":0.2604627570805865,"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."}}