{"id":"W4403262956","doi":"10.3926/jiem.7771","title":"Analysis of optimization models under different approaches to deal with uncertainty regarding pre-disaster planning in food bank supply chains","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Engineering and Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Supply chain; Computer science; Risk analysis (engineering); Operations research; Economics; Business; Engineering; 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":[0.006644797,0.001860158,0.001351967,0.001463866,0.001143979,0.003293812,0.001671876,0.003441644,0.004155693],"category_scores_gemma":[0.01555647,0.001077365,0.00227838,0.001354922,0.001391353,0.002233365,0.001833868,0.003255018,0.000269595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004170923,"about_ca_system_score_gemma":0.003468376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03048417,"about_ca_topic_score_gemma":0.01645209,"domain_scores_codex":[0.9981902,0.001092709,0.00006030898,0.000193009,0.0002014285,0.0002622695],"domain_scores_gemma":[0.9855362,0.01238174,0.0009362327,0.0001743649,0.0007613907,0.0002100873],"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":[0.00001209286,0.00001719245,0.0002284198,0.00002172032,0.00001236236,0.00002023748,0.00001968226,0.9963566,0.00003739406,0.002333592,0.0001047334,0.0008360493],"study_design_scores_gemma":[0.000005640621,0.00002139874,0.0001307155,0.00001531468,0.000009738827,0.000005721378,0.00003772086,0.9980485,0.00004864651,0.001530228,0.000141043,0.000005242446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2583609,0.002324631,0.7038246,0.004164335,0.0001968077,0.0005273622,0.0008639542,0.0002729021,0.02946462],"genre_scores_gemma":[0.90653,0.001303679,0.08390611,0.0003291931,0.0000822521,0.0005865206,0.0004197271,0.00009596803,0.006746595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03048417,"threshold_uncertainty_score":0.06061345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819769122586363,"score_gpt":0.2235796229990522,"score_spread":0.1653819317731886,"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."}}