{"id":"W4395452180","doi":"10.1007/s10479-024-05903-y","title":"Multi-item order quantity optimization through stochastic goal programing","year":2024,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Qatar University","keywords":"Order (exchange); Computer science; Stochastic optimization; Stochastic programming; Mathematical optimization; Mathematics; 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":[0.00062307,0.0001033347,0.0001359246,0.0002186284,0.000173379,0.0003160906,0.0001383769,0.00007706256,0.0002131233],"category_scores_gemma":[0.000590971,0.00009539467,0.00004844801,0.00112612,0.0001080512,0.0005091166,0.00004757937,0.0002730911,0.00007941331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002092796,"about_ca_system_score_gemma":0.00006775765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004359426,"about_ca_topic_score_gemma":0.00003142876,"domain_scores_codex":[0.9987817,0.0000662751,0.0003007723,0.0001793834,0.0003565904,0.0003152923],"domain_scores_gemma":[0.9989485,0.0001718562,0.000005478963,0.0001899916,0.0006146053,0.0000695249],"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":[0.000001862337,0.00008070612,0.000002785467,0.0002342858,0.00003635195,0.000002126602,0.0006691761,0.9840409,0.0004111171,0.01031902,0.0004911326,0.00371051],"study_design_scores_gemma":[0.00008069588,0.00004352689,0.000008132578,0.0001225798,0.000004955914,0.00000233899,0.0002225229,0.9979419,0.0006332514,0.00009099211,0.0007514576,0.00009770272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004987592,0.001042587,0.9915642,0.0004514192,0.0001239502,0.0005103125,0.0000101,0.0003272954,0.0009825608],"genre_scores_gemma":[0.7306111,0.0002318054,0.2684081,0.00001750775,0.00005709525,0.0001184386,0.00004861085,0.00004463779,0.0004627422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7256235,"threshold_uncertainty_score":0.3890082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2368621662547276,"score_gpt":0.4645346067948513,"score_spread":0.2276724405401237,"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."}}