{"id":"W2138319780","doi":"10.5539/ibr.v6n3p192","title":"A Simple Multiproduct Multimachine Production Planning Model","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"USable; Production (economics); Production planning; Business; Business system planning; Competence (human resources); Operations management; Computer science; Simple (philosophy); Operations research; Industrial organization; Marketing; Process management; Economics; Microeconomics; Management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003307174,0.000113491,0.00009334068,0.0003801027,0.0001168061,0.00016243,0.000289418,0.00005774735,0.0003049063],"category_scores_gemma":[0.0006805263,0.0001087405,0.00002359235,0.0005331087,0.00005419023,0.0004607221,0.00006993385,0.0003078963,0.0003573732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141506,"about_ca_system_score_gemma":0.00003210882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280086,"about_ca_topic_score_gemma":0.000002656918,"domain_scores_codex":[0.9986413,0.00002550031,0.0001978109,0.0002583243,0.0005942489,0.0002827935],"domain_scores_gemma":[0.998283,0.00005637728,0.00001729347,0.0002103436,0.001364404,0.00006863505],"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":[0.000006831488,0.00003441811,0.0016486,0.00001861662,0.00002340714,0.000002016767,0.0001471364,0.9826728,0.00568378,0.00002206785,0.005106569,0.004633819],"study_design_scores_gemma":[0.0002005912,0.000003427416,0.01126258,0.00002565175,0.000001275155,0.000006443297,0.00005676651,0.9851757,0.002148793,0.0004045478,0.0005945924,0.0001196044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7253953,0.0003430257,0.2583417,0.003372763,0.002176939,0.0007602899,0.00002001846,0.0009212851,0.008668736],"genre_scores_gemma":[0.9547084,0.00004931614,0.04311691,0.00002288602,0.0005681852,0.0001379766,0.000098848,0.00004119942,0.001256287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2293131,"threshold_uncertainty_score":0.4593428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672901305834902,"score_gpt":0.3587204071943673,"score_spread":0.2914302766108771,"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."}}