{"id":"W4220890986","doi":"10.1007/s11134-022-09773-8","title":"Statistical inference for mean-field queueing models","year":2022,"lang":"en","type":"article","venue":"Queueing Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Queueing theory; Statistical inference; Field (mathematics); Inference; Computer science; Econometrics; Statistics; Mathematics; Artificial intelligence","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":[0.001149937,0.000219477,0.0003730701,0.0002816156,0.0007770142,0.0003155141,0.0004268342,0.00005077436,0.0001778345],"category_scores_gemma":[0.0004297101,0.000230908,0.0001137188,0.0004601733,0.00002968668,0.001032512,0.000310889,0.0002491846,0.00004502349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212682,"about_ca_system_score_gemma":0.00003449435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990219,"about_ca_topic_score_gemma":0.00007931476,"domain_scores_codex":[0.9981646,0.0000625398,0.0004762369,0.0004509009,0.00040897,0.0004367301],"domain_scores_gemma":[0.9984203,0.0007026352,0.0003240754,0.0003859126,0.000146151,0.0000209211],"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":[0.00006024932,0.00003089118,0.0003206177,0.0002169928,0.00004623277,0.00001234105,0.0001150519,0.2306389,0.0001884201,0.7657389,0.001428313,0.001203068],"study_design_scores_gemma":[0.0003845465,0.00003302504,0.0000102811,0.00007057347,0.0001034955,0.000004230354,0.001522585,0.8477293,0.0000231952,0.1114533,0.03826957,0.0003959615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03152108,0.0002550116,0.9512194,0.0003697182,0.001268405,0.0007352181,0.00002944038,0.000502865,0.0140988],"genre_scores_gemma":[0.9960406,0.000001602525,0.0008892468,0.0008843946,0.0007930909,0.0004074774,0.00005589914,0.00005601025,0.0008716318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9645196,"threshold_uncertainty_score":0.9416153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795936803819536,"score_gpt":0.2711436432138503,"score_spread":0.243184275175655,"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."}}