{"id":"W2339295289","doi":"10.1007/978-3-642-30376-0_5","title":"Traffic Dynamics Online Estimation Based on Measured Autocorrelation","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Exponential smoothing; Autocorrelation; Computer science; Smoothing; Exponential distribution; Mathematical optimization; Statistics; 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":[0.0003900282,0.0002666021,0.0003003962,0.0002109985,0.0006595907,0.0001627407,0.001329072,0.0002292001,8.238202e-7],"category_scores_gemma":[0.00005113822,0.0002201584,0.0001763976,0.0002114924,0.0002036436,0.0003491507,0.0002030883,0.0004044989,9.541895e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001193696,"about_ca_system_score_gemma":0.0001808613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003943157,"about_ca_topic_score_gemma":0.000049406,"domain_scores_codex":[0.9987569,0.00001590669,0.0005410473,0.0001476396,0.0003241637,0.0002142863],"domain_scores_gemma":[0.9983751,0.0003815657,0.000470392,0.0005610383,0.0001580812,0.00005385663],"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":[0.000001249715,0.00001460148,6.561713e-7,0.00003640371,0.00001803585,1.515757e-8,0.0001796334,0.7048084,2.000218e-7,0.04780117,0.00001685198,0.2471228],"study_design_scores_gemma":[0.0002366358,0.00006110293,0.00003824266,0.000181189,0.00004326462,0.000003034702,9.036535e-7,0.994983,0.000002261021,0.0003394666,0.003883987,0.0002269627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007644884,0.0002008668,0.9961981,0.001493552,0.0006650952,0.0005877445,0.00004891429,0.0001241078,0.0006051305],"genre_scores_gemma":[0.1004002,0.00002538336,0.8989665,0.0002519217,0.0001530862,0.00002580383,0.0001219348,0.00001566537,0.0000395196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2901746,"threshold_uncertainty_score":0.8977798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985597867132405,"score_gpt":0.2278672545562034,"score_spread":0.2080112758848794,"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."}}