{"id":"W2581327855","doi":"10.1016/j.comcom.2017.01.012","title":"End-to-end programmable, cloud-based virtualized HetNet: Advances made & challenges to address","year":2017,"lang":"en","type":"article","venue":"Computer Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cloud computing; Virtualization; Heterogeneous network; Computer network; Provisioning; Network virtualization; Virtual network; Wireless network; Distributed computing; Wireless; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0004998957,0.0003203564,0.0003970879,0.000196145,0.001511779,0.0009770634,0.01053347,0.0001077865,0.00001788805],"category_scores_gemma":[0.00009191559,0.0003176291,0.000147954,0.0003419486,0.0002163198,0.0006009289,0.00427822,0.0003285989,0.0003257947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005943286,"about_ca_system_score_gemma":0.0001046313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008716041,"about_ca_topic_score_gemma":0.0005877385,"domain_scores_codex":[0.9976416,0.0002677933,0.0004305733,0.0007011415,0.0003713942,0.00058751],"domain_scores_gemma":[0.9886139,0.0006086142,0.0002633735,0.009866644,0.0002460006,0.0004014883],"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":[0.00002521762,0.000426747,0.0006128893,0.00003813672,0.00006045024,0.000005199453,0.001633651,0.004188534,0.0000380598,0.07839602,0.006839151,0.9077359],"study_design_scores_gemma":[0.0006888568,0.0001829153,0.005386918,0.0002182908,0.00001508375,0.000008147405,0.00001192216,0.05207439,0.00006388587,0.002314303,0.938511,0.0005243408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008221429,0.005756101,0.954946,0.03290065,0.001047761,0.000871562,0.00002105804,0.0007491027,0.002885569],"genre_scores_gemma":[0.2226345,0.001101394,0.772482,0.002564583,0.0003774416,0.0004875466,0.00005204371,0.00004154646,0.0002590142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9316718,"threshold_uncertainty_score":0.9999276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08872327753139031,"score_gpt":0.3377010668258494,"score_spread":0.2489777892944591,"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."}}