{"id":"W2966892942","doi":"10.1109/stict.2019.8789369","title":"Toward Predictive Handover Mechanism in Software-Defined Enterprise Wi-Fi Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Handover; Computer science; Computer network; Throughput; Quality of experience; Resource allocation; Point (geometry); Quality of service; Wireless; Operating system","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":[0.0009253306,0.0004365951,0.0005915093,0.0006165357,0.0004115514,0.0007043788,0.001067574,0.0007195512,0.0004723607],"category_scores_gemma":[0.001975243,0.0002389061,0.0002946772,0.0004050296,0.0004054967,0.0008661295,0.0005813335,0.0008104352,0.0001293862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870073,"about_ca_system_score_gemma":0.0006096854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004891411,"about_ca_topic_score_gemma":0.003487361,"domain_scores_codex":[0.9995112,0.0001126777,0.00002949487,0.0001051039,0.0001575569,0.00008387984],"domain_scores_gemma":[0.9992859,0.0003764979,0.0000923184,0.0000527274,0.0001593507,0.00003316683],"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":[0.0001854687,0.0001223993,0.001926383,0.00004542299,0.00004059818,0.0001256723,0.00009118437,0.7777384,0.01051312,0.005682482,0.00113799,0.2023909],"study_design_scores_gemma":[0.000001652131,0.000009730014,0.0001248846,0.000001280599,0.000002559661,0.000007382682,0.000004304872,0.9984976,0.0006899982,0.000574583,0.0000838836,0.000002166608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03949157,0.0003818109,0.9583356,0.0001650781,0.00003973336,0.00002246871,0.00002243417,0.0006335854,0.0009076496],"genre_scores_gemma":[0.918726,0.0001980355,0.07974625,0.00008959624,0.00004955918,0.00002713983,0.00005964163,0.00002023606,0.001083522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004891411,"threshold_uncertainty_score":0.009725928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036875547056406,"score_gpt":0.2202758040219241,"score_spread":0.20990704855136,"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."}}