{"id":"W2140351104","doi":"10.1109/ccece.2008.4564851","title":"Study of number of packets in transit in a data network model near onset of congestion using functional fixed effect models","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Network packet; Computer science; Computer network; Data modeling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002574939,0.001142504,0.001082242,0.001333194,0.0006357863,0.001122232,0.001676243,0.001909993,0.001987763],"category_scores_gemma":[0.006722562,0.0006136923,0.001359633,0.0006064466,0.00190828,0.001818714,0.0008868289,0.001527825,0.0001348433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244841,"about_ca_system_score_gemma":0.001056395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01367455,"about_ca_topic_score_gemma":0.005052742,"domain_scores_codex":[0.9993068,0.0002995181,0.00001679996,0.0001253975,0.00008289379,0.0001685385],"domain_scores_gemma":[0.9947685,0.00363305,0.000686669,0.0001535695,0.0004617144,0.0002965383],"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":[0.0001176053,0.0000720808,0.00160205,0.00005381844,0.00004776251,0.000154765,0.00007756865,0.9728252,0.002386698,0.02152202,0.0002310694,0.0009093238],"study_design_scores_gemma":[0.000006393976,0.00003020239,0.0001917244,0.00000341467,0.00001207522,0.000008490959,0.00001588936,0.9979207,0.0001577413,0.001605534,0.00004300418,0.000004804141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.704334,0.0006823068,0.2855027,0.001499619,0.00009429497,0.0001517876,0.0003555249,0.000190044,0.007189665],"genre_scores_gemma":[0.9900309,0.0003056981,0.005761648,0.00008405134,0.00002626429,0.0001041207,0.00008064944,0.0000259912,0.0035806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01367455,"threshold_uncertainty_score":0.02718991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05855313422602423,"score_gpt":0.2544097139625764,"score_spread":0.1958565797365522,"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."}}