{"id":"W4285046297","doi":"10.1016/j.cie.2022.108442","title":"Sustainable network design for a non-profit food bank supply chain with a heterogeneous fleet under uncertainty","year":2022,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Food waste; Supply chain; Profit (economics); Food security; Business; Environmental economics; Agriculture; Economics; Marketing; Engineering; Waste management; Microeconomics","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":[0.0005544025,0.0002393178,0.0002832293,0.00003122846,0.0005296831,0.0001010715,0.0003200044,0.0001025494,0.00004750433],"category_scores_gemma":[0.00003545231,0.0001253187,0.0001294937,0.0006586358,0.0000310295,0.00008392992,0.0001914772,0.0003113434,3.779912e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512258,"about_ca_system_score_gemma":0.00007751051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000928083,"about_ca_topic_score_gemma":0.00001026019,"domain_scores_codex":[0.9982829,0.0001007456,0.0002435467,0.0004188709,0.000228034,0.0007259124],"domain_scores_gemma":[0.9992868,0.0002914297,0.00007479248,0.0001019199,0.00009005297,0.0001549885],"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":[0.0002981016,0.00003293048,0.00004412985,0.00001449551,0.00006047131,0.00001137269,0.00008648341,0.9878429,0.0002473648,0.0005361462,0.001286032,0.009539546],"study_design_scores_gemma":[0.003917807,0.01196163,0.0004456553,0.00006722309,0.00008332281,0.0001771004,0.0153445,0.8926398,0.0005963162,0.0006466771,0.07265505,0.001464956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731452,0.00008695132,0.022614,0.001209973,0.0007903111,0.001901631,0.00003232805,0.0002108397,0.000008701134],"genre_scores_gemma":[0.99731,0.000001196339,0.001030841,0.0001168105,0.0009482448,0.000360942,0.00006022508,0.00000573341,0.0001659731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09520316,"threshold_uncertainty_score":0.511035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812839982475156,"score_gpt":0.1992531407487958,"score_spread":0.1711247409240442,"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."}}