{"id":"W2560500785","doi":"10.1109/ichi.2016.69","title":"Enhance Network Communications in a Cloud-Based Real-Time Health Analytics Platform Using SDN","year":2016,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Cloud computing; Computer science; Reliability (semiconductor); Analytics; Software-defined networking; Quality (philosophy); Phone; Computer network; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006621027,0.000140545,0.0002482381,0.00009072814,0.0001958366,0.00007016239,0.001219903,0.00006759758,0.00003227684],"category_scores_gemma":[0.00003283639,0.0001020864,0.00005849221,0.0009084069,0.00006963692,0.0002745013,0.0003430208,0.0001141893,0.00006067862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033838,"about_ca_system_score_gemma":0.0003126879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005593613,"about_ca_topic_score_gemma":0.0005942485,"domain_scores_codex":[0.9985067,0.00008440256,0.0004025517,0.0003101153,0.000181621,0.0005146133],"domain_scores_gemma":[0.9974003,0.0006422999,0.0001619186,0.001604286,0.0000564934,0.0001347081],"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":[0.00009694157,0.0009313736,0.04746045,0.00007159188,0.0001076172,0.00003056025,0.001098812,0.1066362,0.0009159151,0.3723422,0.07120872,0.3990996],"study_design_scores_gemma":[0.0005322713,0.00009492454,0.00217012,0.0002748669,0.000003759768,0.000004074319,0.000005378424,0.9861522,0.00008687153,0.006496035,0.003901686,0.000277758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007463132,0.0002514374,0.9848512,0.005115146,0.0001737082,0.0001884445,0.000002486266,0.0002844571,0.001669931],"genre_scores_gemma":[0.5726506,0.0004248765,0.4241915,0.002128725,0.0001646758,0.00001253824,0.000005068169,0.00001915644,0.0004028683],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8795161,"threshold_uncertainty_score":0.4162962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465304625705875,"score_gpt":0.318133573104693,"score_spread":0.2634805268476343,"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."}}