{"id":"W2105966535","doi":"10.1109/glocom.1997.644585","title":"Diagnosing a TCP/ATM performance problem: a case study","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canarie; Cisco Systems","keywords":"Computer science; Computer network; File Transfer Protocol; Asynchronous Transfer Mode; ATM adaptation layer; Network packet; Throughput; Workstation; Robustness (evolution); Zeta-TCP; Operating system; Transmission Control Protocol; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001795527,0.0001155816,0.0001237005,0.00004991666,0.0002103389,0.0001709624,0.0003457551,0.00002615062,0.0001183568],"category_scores_gemma":[0.000006705463,0.00009451881,0.00003297198,0.0003152066,0.00001742097,0.000434242,0.00009777307,0.0001072458,0.0002110061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001886387,"about_ca_system_score_gemma":0.0000114099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004651775,"about_ca_topic_score_gemma":0.00007381328,"domain_scores_codex":[0.9990067,0.00005238171,0.0001868837,0.0003165451,0.0001769463,0.0002604858],"domain_scores_gemma":[0.9993353,0.00008934374,0.00004217503,0.000392717,0.00004904156,0.00009140237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001215789,0.0003896564,0.007842157,0.000004293252,0.00001655121,0.001526244,0.002192907,0.0006104243,0.000001295028,0.001493327,0.002508887,0.983413],"study_design_scores_gemma":[0.0007963598,0.0003324379,0.000408283,0.00001242226,0.00001034155,0.001573308,0.0002604839,0.993691,0.000006276775,0.00002321387,0.002692288,0.0001936155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802648,0.0002273853,0.1065267,0.001040613,0.0002520445,0.0005504717,1.402433e-7,0.0005471625,0.01059071],"genre_scores_gemma":[0.9910531,0.00001613494,0.006480013,0.000377351,0.00008269182,0.00007932547,5.963336e-8,0.000005778501,0.001905527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9930806,"threshold_uncertainty_score":0.3854365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409251071203507,"score_gpt":0.2168727349633768,"score_spread":0.1927802242513417,"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."}}