{"id":"W2102799228","doi":"10.5539/nct.v1n2p1","title":"Modeling Latency in a Network Distribution","year":2012,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latency (audio); Computer science; Reliability (semiconductor); Transmission (telecommunications); Computer network; Data transmission; Real-time computing; Regression analysis; Telecommunications; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266591,0.000959254,0.0004556511,0.001260415,0.0005345986,0.001564018,0.001354087,0.0009538883,0.002745961],"category_scores_gemma":[0.007560139,0.000422689,0.0005423808,0.001383174,0.0009747326,0.003854473,0.001168642,0.001094973,0.0007559778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002560559,"about_ca_system_score_gemma":0.001080588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01885588,"about_ca_topic_score_gemma":0.007741814,"domain_scores_codex":[0.9992903,0.0002016532,0.00002994287,0.0001494788,0.000165279,0.0001633296],"domain_scores_gemma":[0.9974307,0.001440008,0.0004170214,0.0002048969,0.0004133281,0.00009406378],"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":[0.00004523243,0.00003788018,0.002587078,0.00003452067,0.00001951435,0.0001414151,0.0002099858,0.9172616,0.001300176,0.06969193,0.0006439019,0.008026752],"study_design_scores_gemma":[0.000003912279,0.00001398418,0.0002593156,0.000005175943,0.000005821534,0.00002775011,0.00004200817,0.9838261,0.0001637078,0.01493358,0.0007125578,0.00000607993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1169136,0.0007135482,0.8673097,0.001159674,0.0000828413,0.0001238535,0.0003279591,0.0006196611,0.01274916],"genre_scores_gemma":[0.9507169,0.001524731,0.0297189,0.0001081891,0.0001258172,0.0002150912,0.0002247203,0.0002148317,0.01715083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01885588,"threshold_uncertainty_score":0.03749222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612956765329352,"score_gpt":0.2571429762379658,"score_spread":0.2410134085846723,"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."}}