{"id":"W4377966757","doi":"10.46254/na07.20220060","title":"Modelling Congestion for Aggregate Production Planning in Open Queuing Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Queueing theory; Computer science; Aggregate (composite); Aggregate planning; Network congestion; Computer network; Production (economics); Production planning; Microeconomics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002255694,0.00141601,0.001273531,0.000898761,0.001038869,0.002648705,0.002021288,0.001650492,0.00532089],"category_scores_gemma":[0.006866447,0.0009469665,0.001192547,0.001191333,0.001487733,0.002811019,0.001938939,0.00226985,0.0003209726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003354709,"about_ca_system_score_gemma":0.002683145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03270702,"about_ca_topic_score_gemma":0.01994658,"domain_scores_codex":[0.9986736,0.0004447101,0.00006019553,0.0002798782,0.0002023036,0.0003393778],"domain_scores_gemma":[0.9967527,0.002239264,0.0003766224,0.000084004,0.0003478809,0.0001994769],"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":[0.00002492891,0.00001309691,0.0002528202,0.00002176404,0.000009652285,0.00002792627,0.00002829871,0.9882264,0.0001417906,0.009281051,0.0002296047,0.001742673],"study_design_scores_gemma":[0.000004268061,0.00000973717,0.00005482716,0.000003323636,0.000006005427,0.000003884516,0.00001198871,0.9948514,0.00003864207,0.004790875,0.0002215269,0.00000339046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05970969,0.001085693,0.9283987,0.0009356248,0.0002397059,0.0001427871,0.0004678869,0.0003765261,0.008643308],"genre_scores_gemma":[0.9363928,0.0008350236,0.0533639,0.0001984721,0.0001192659,0.0002157949,0.0002808105,0.0001078242,0.00848613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03270702,"threshold_uncertainty_score":0.06503332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04880226100591822,"score_gpt":0.2804371262610792,"score_spread":0.231634865255161,"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."}}