{"id":"W7052210995","doi":"","title":"QoS-aware resource provisioning in virtualized wireless networks","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Provisioning; Resource (disambiguation); Wireless; Wireless network; Virtualization; Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004068248,0.0006638773,0.0005514725,0.0001904773,0.0006229454,0.00004669805,0.0007066202,0.001177859,0.00004758723],"category_scores_gemma":[0.0001229773,0.0006498285,0.0002583516,0.0003499038,0.00006482854,0.00002636099,0.0001860292,0.0009667858,0.0000268712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566691,"about_ca_system_score_gemma":0.00006573484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004697269,"about_ca_topic_score_gemma":0.000461754,"domain_scores_codex":[0.9966495,0.0001883785,0.0007536994,0.00132107,0.0002865501,0.0008008137],"domain_scores_gemma":[0.9981161,0.00005115529,0.0004971082,0.0009441602,0.0001969074,0.0001945125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003345943,0.00009980504,0.00001864019,0.00005941315,0.00004839274,0.000008987725,0.00000191358,0.00005610704,0.8907856,0.005133249,0.00004345448,0.1034099],"study_design_scores_gemma":[0.0008849484,0.0002368773,0.00008545538,0.0005184955,0.00004335969,0.00001303459,0.00009265506,0.00003357579,0.7508212,0.001672297,0.2445993,0.0009987922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802754,0.0008458787,0.0001623855,0.00001995454,0.0002878423,0.001325101,0.0005371368,0.0002052476,0.01634106],"genre_scores_gemma":[0.9797766,0.001374178,0.0009924376,0.0002949301,0.000168549,0.0006704663,0.004045068,0.0002889007,0.01238884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2445559,"threshold_uncertainty_score":0.9995953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006453817022767998,"score_gpt":0.2793991993673425,"score_spread":0.2729453823445745,"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."}}