{"id":"W203789032","doi":"10.5555/2557696.2557734","title":"Self-similarity of the simulated internet traffic from the source with clustered fragmented periodic output","year":2013,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Self-similarity; Similarity (geometry); Cluster analysis; Cluster (spacecraft); Scaling; The Internet; Computer science; Internet traffic; Cluster size; Property (philosophy); Data mining; Mathematics; Artificial intelligence; Computer network; Physics; World Wide Web","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":[0.0005120512,0.0002743249,0.0002997064,0.0007282663,0.0002607318,0.000469963,0.0006008003,0.0006829649,0.0007741126],"category_scores_gemma":[0.002402491,0.0001533831,0.0003684038,0.0005718662,0.0003951536,0.000463179,0.0002779639,0.0004963545,0.00009981317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006067465,"about_ca_system_score_gemma":0.0003242738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842284,"about_ca_topic_score_gemma":0.002260256,"domain_scores_codex":[0.9998147,0.00005841724,0.000009982154,0.00002563381,0.00005027857,0.00004092999],"domain_scores_gemma":[0.9987817,0.0006656584,0.0000988813,0.0001021192,0.0002676,0.00008400082],"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":[0.0001590264,0.000144234,0.01000505,0.00003422311,0.00003571597,0.0002461497,0.0001337648,0.9769696,0.004766932,0.00443671,0.0004503388,0.002618229],"study_design_scores_gemma":[0.000005293418,0.00002984537,0.001485489,0.000002218845,0.00000396057,0.00002786363,0.00003190544,0.9970106,0.0008055757,0.0005403802,0.00005249333,0.000004425563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912996,0.00002721437,0.006688923,0.00006362438,0.00001406578,0.00001901232,0.0001506534,0.00008925708,0.00164768],"genre_scores_gemma":[0.9987393,0.00001594851,0.0008208677,0.000007709598,0.000002531345,0.00001133951,0.0001269271,0.000009130298,0.0002662672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004842284,"threshold_uncertainty_score":0.009628177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034086175745387,"score_gpt":0.2352964301917276,"score_spread":0.2149555684342737,"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."}}