{"id":"W4404989381","doi":"10.1017/9781009562942.006","title":"Waiting Time Distributions","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science","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":[0.001478973,0.0005481251,0.0005469056,0.001722138,0.000655797,0.002515681,0.002264471,0.001208641,0.01870023],"category_scores_gemma":[0.008049714,0.0004560396,0.0005935215,0.00214865,0.0009216474,0.003095549,0.0006613034,0.001138327,0.005889494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835414,"about_ca_system_score_gemma":0.001204909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222073,"about_ca_topic_score_gemma":0.00106319,"domain_scores_codex":[0.9989663,0.0001102541,0.00007211578,0.0002855939,0.0004176001,0.0001480386],"domain_scores_gemma":[0.996285,0.001642753,0.0003605532,0.0004710784,0.001096243,0.0001444337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001550078,0.0000917427,0.002419683,0.0003143781,0.00003389221,0.0003156091,0.0005240352,0.06496707,0.01340984,0.8251197,0.01207198,0.08057693],"study_design_scores_gemma":[0.00004981569,0.0001761978,0.005382854,0.0001285844,0.0000573444,0.001573443,0.0003643394,0.4260629,0.01060927,0.4650646,0.09040349,0.0001271573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05776105,0.002170265,0.838687,0.00105249,0.0003368425,0.0002571588,0.002741293,0.002262683,0.09473109],"genre_scores_gemma":[0.7956638,0.004345063,0.0867082,0.0005305763,0.0004415599,0.0006403775,0.003157723,0.00096082,0.1075519],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01870023,"threshold_uncertainty_score":0.06255841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401408067612702,"score_gpt":0.1861386260078063,"score_spread":0.1721245453316792,"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."}}