{"id":"W2067739037","doi":"10.1287/msom.5.4.372.24885","title":"Erratum to Bounds in “Serial Production/Distribution Systems Under Service Constraints”","year":2003,"lang":"en","type":"erratum","venue":"Manufacturing & Service Operations Management","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Production (economics); Service (business); Computer science; Distribution (mathematics); Operations research; Operations management; Business; Mathematical optimization; Microeconomics; Economics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004195965,0.0007253629,0.0005655123,0.0005543951,0.0003674902,0.0008851161,0.0005319877,0.0004874449,0.0002175545],"category_scores_gemma":[0.00001572084,0.0008377892,0.00007992031,0.001070964,0.000026399,0.0003360652,0.0001494781,0.00089153,0.0004975896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003147,"about_ca_system_score_gemma":0.0001108439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003760786,"about_ca_topic_score_gemma":0.002478735,"domain_scores_codex":[0.9968256,0.0001142019,0.0008926693,0.0008940608,0.0005595398,0.0007138824],"domain_scores_gemma":[0.998493,0.00001203017,0.0000814367,0.0009406144,0.0002614565,0.0002115335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005993212,0.00005916601,9.298483e-7,0.0008582702,0.0001456395,0.00001148054,0.0002416807,0.8257263,0.000006063275,0.0003901836,0.1722611,0.0002931935],"study_design_scores_gemma":[0.001725823,0.00006214898,0.0007233988,0.00213014,0.0004227902,0.00005671568,0.005299223,0.3730493,0.0006450816,0.000129791,0.6126342,0.003121377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.01639976,0.002224976,0.2718697,0.01760157,0.4686532,0.01519039,0.001357981,0.005441215,0.2012612],"genre_scores_gemma":[0.1075697,0.003038179,0.08479842,0.01469484,0.0156874,0.008514523,0.05742437,0.002108455,0.7061641],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.504903,"threshold_uncertainty_score":0.9994073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203782936368532,"score_gpt":0.2217445529151714,"score_spread":0.2097067235514861,"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."}}