{"id":"W4299643812","doi":"10.1007/978-3-031-79260-1_3","title":"Loss Models for Networks","year":2013,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on learning, networks, and algorithms","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","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":[0.001497394,0.001598522,0.001416643,0.0009044441,0.0005016926,0.002435901,0.001438599,0.001708401,0.01277996],"category_scores_gemma":[0.004586844,0.0005352066,0.0006631647,0.001500207,0.001300096,0.003564632,0.001108145,0.004713016,0.00376133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942972,"about_ca_system_score_gemma":0.0007260193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296881,"about_ca_topic_score_gemma":0.002417445,"domain_scores_codex":[0.9993132,0.0002283024,0.00002817746,0.0001376389,0.000231991,0.00006062134],"domain_scores_gemma":[0.9987622,0.0007463459,0.00007824077,0.0001491126,0.0002103095,0.00005380641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002456669,0.00004343382,0.0002195108,0.0001344104,0.00004472043,0.00004164496,0.000062976,0.06196682,0.0004203346,0.807044,0.05822385,0.07177377],"study_design_scores_gemma":[0.000007277787,0.00001358643,0.0001385661,0.00004047249,0.0000108659,0.00003711857,0.00001428595,0.1377965,0.0001083418,0.8297877,0.03203397,0.0000114832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00274432,0.02614426,0.9244384,0.004677632,0.001387049,0.00003389269,0.0005555305,0.0006494946,0.03936937],"genre_scores_gemma":[0.368049,0.05627837,0.2854249,0.003176035,0.009379795,0.0007227698,0.002927512,0.001258157,0.2727835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01277996,"threshold_uncertainty_score":0.04275322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312384522551052,"score_gpt":0.2100216079721029,"score_spread":0.1968977627465924,"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."}}