{"id":"W2159049494","doi":"10.4304/jcm.1.2.48-56","title":"Round-trip Time Variation in SmoothTCP in the Face of Spurious Errors","year":2006,"lang":"en","type":"article","venue":"Journal of Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Spurious relationship; Variation (astronomy); Computer science; Face (sociological concept); Statistics; Geodesy; Mathematics; Geology; Machine learning; Physics","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":[0.00232282,0.0003836266,0.0004400048,0.0007034912,0.0004115159,0.001077531,0.0008340449,0.000523063,0.0004828228],"category_scores_gemma":[0.0191307,0.0002284368,0.0001794893,0.000964322,0.0007787414,0.0008325902,0.0006816734,0.000793843,0.0001143173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009125281,"about_ca_system_score_gemma":0.0005806152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002271569,"about_ca_topic_score_gemma":0.001564836,"domain_scores_codex":[0.9977332,0.0006283931,0.0001085263,0.0003151477,0.001003212,0.0002115285],"domain_scores_gemma":[0.9874686,0.007079687,0.001821653,0.001143044,0.002127938,0.0003591285],"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":[0.002238523,0.0002977905,0.06702343,0.0002487111,0.0002852718,0.001446963,0.0005497266,0.7990102,0.04517309,0.007840693,0.002704144,0.0731815],"study_design_scores_gemma":[0.00003096383,0.0006160244,0.02294347,0.00002440892,0.00008081654,0.0006429626,0.0001043574,0.9570387,0.01392418,0.002661031,0.001873006,0.0000600464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347693,0.0009320021,0.06045069,0.0001980113,0.00009556871,0.00005966653,0.0001836749,0.0006539443,0.00265704],"genre_scores_gemma":[0.9974588,0.00005616219,0.002241998,0.00001826785,0.00001366566,0.00001121423,0.00006018655,0.00002181043,0.0001178964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00232282,"threshold_uncertainty_score":0.0122844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310995419330829,"score_gpt":0.2464315340251916,"score_spread":0.2333215798318833,"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."}}