{"id":"W4396579551","doi":"10.1287/stsy.2023.0011","title":"The BAR Approach for Multiclass Queueing Networks with SBP Service Policies","year":2024,"lang":"en","type":"article","venue":"Stochastic Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Queueing theory; Bar (unit); Service (business); Computer science; Computer network; Business; Geology; Oceanography; 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":[0.002080976,0.0006920155,0.0006683599,0.001542549,0.0007380687,0.001884706,0.001796487,0.001193724,0.005743504],"category_scores_gemma":[0.005483059,0.0004586803,0.001041066,0.0009877387,0.001272866,0.00373113,0.002055912,0.003425089,0.001329284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161147,"about_ca_system_score_gemma":0.001209298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002604,"about_ca_topic_score_gemma":0.00173761,"domain_scores_codex":[0.9985989,0.0004623144,0.00005165546,0.00024778,0.0004861055,0.0001533641],"domain_scores_gemma":[0.998251,0.0008590041,0.0002108076,0.0001780741,0.0003804537,0.0001206784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002196472,0.0000503337,0.0002015071,0.0000740091,0.00002188318,0.00007719324,0.0001460521,0.0696889,0.001565327,0.902059,0.001689514,0.02440435],"study_design_scores_gemma":[0.000006866086,0.00003090757,0.0001026533,0.00002156855,0.00001027173,0.00006412662,0.00003714909,0.6802907,0.0003841716,0.3122163,0.006818566,0.00001673856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002767944,0.0003361164,0.9899216,0.0002873319,0.00005914101,0.0000216574,0.00002525803,0.0001266102,0.006454405],"genre_scores_gemma":[0.5421761,0.002793895,0.4215041,0.00142978,0.0009101373,0.0004609966,0.0002409982,0.0003589422,0.03012509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005743504,"threshold_uncertainty_score":0.01921391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443827275858759,"score_gpt":0.2310348922444442,"score_spread":0.2165966194858566,"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."}}