{"id":"W4299730971","doi":"10.1007/978-3-031-01755-1_5","title":"Flow Control","year":2017,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on computer architecture","topic":"Plasma and Flow Control in Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Flow control (data); Router; Traverse; Network packet; Throughput; Latency (audio); Granularity; Overhead (engineering); Distributed computing; Telecommunications; Wireless","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":[0.0002803467,0.001053853,0.0006190998,0.00089811,0.0006461626,0.001657874,0.0009790064,0.0009514875,0.04429518],"category_scores_gemma":[0.000570239,0.0003479061,0.000378003,0.0005501434,0.0008189853,0.001462599,0.00134572,0.001403266,0.01606165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006590739,"about_ca_system_score_gemma":0.0005566106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045051,"about_ca_topic_score_gemma":0.0009170885,"domain_scores_codex":[0.9996382,0.00002461681,0.000009986579,0.00009062986,0.0002036251,0.00003284732],"domain_scores_gemma":[0.9998608,0.00002014905,0.00000815729,0.00004121153,0.00005560028,0.00001421706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000872103,0.00006400242,0.0001357227,0.0001947582,0.00002058156,0.00004955998,0.00008077026,0.01590033,0.01205131,0.2877113,0.09871385,0.5849906],"study_design_scores_gemma":[0.00002956303,0.00009470559,0.000358825,0.0001264256,0.00002073141,0.0001331238,0.00003560704,0.06615592,0.01561929,0.1392393,0.7781479,0.00003855249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003213504,0.007690534,0.5061225,0.001438997,0.00365014,0.0001059856,0.0005513445,0.00355248,0.4736744],"genre_scores_gemma":[0.1251314,0.008291724,0.07788596,0.0009300555,0.001965052,0.0002403856,0.001706558,0.0008146323,0.7830341],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04429518,"threshold_uncertainty_score":0.1481822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005698992170301995,"score_gpt":0.1748078759731804,"score_spread":0.1691088838028784,"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."}}