{"id":"W2064815755","doi":"10.1016/j.cor.2006.12.024","title":"Performance evaluation of a single-stage two-product manufacturing system operating under pull-type control","year":2006,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Bilkent Üniversitesi; National Science Council","keywords":"Polling system; Polling; Markov chain; Queue; Computer science; Decomposition; Flexible manufacturing system; Set (abstract data type); Product type; Product (mathematics); Type (biology); Mathematical optimization; Mathematics","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":[0.004363133,0.0001832432,0.0002754966,0.0006794621,0.0009028923,0.0005345986,0.0004033325,0.00004244749,0.0001060699],"category_scores_gemma":[0.0001996587,0.0001753223,0.00006836747,0.0009835275,0.0001351244,0.001370701,0.0001965168,0.0002564817,0.0001225752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111392,"about_ca_system_score_gemma":0.00009474233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008290408,"about_ca_topic_score_gemma":0.0002469905,"domain_scores_codex":[0.9972563,0.0002638698,0.000507641,0.0004651345,0.001082455,0.0004245388],"domain_scores_gemma":[0.9972208,0.0001387437,0.00009871767,0.0005431102,0.001982158,0.0000165216],"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":[0.00002256445,0.00007494525,0.0004579628,0.0001114242,0.00003947816,0.000002030469,0.00002792471,0.9646024,0.0185595,0.01198848,0.0001013367,0.004011972],"study_design_scores_gemma":[0.000896455,0.00002131205,0.001070202,0.0001354119,0.00007147135,0.000002279125,0.0003303675,0.990483,0.006406896,0.0001302268,0.0002693087,0.0001830653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965872,0.0001117141,0.02773042,0.0002877715,0.0002706028,0.0007403742,0.000002297437,0.0001137663,0.004870978],"genre_scores_gemma":[0.996806,0.000001337604,0.001629171,0.00007176741,0.0009967355,0.00005212704,0.00006894814,0.00003301719,0.0003409059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03093391,"threshold_uncertainty_score":0.7149438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07767430333063105,"score_gpt":0.3385204834544537,"score_spread":0.2608461801238227,"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."}}