{"id":"W3145359740","doi":"10.1109/jiot.2021.3068878","title":"Task Allocation Framework For Software-Defined Fog v-RAN","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Radio access network; Distributed computing; Cloud computing; C-RAN; Scheduling (production processes); Virtualization; Scalability; Wireless network; Base station; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006505912,0.0001411746,0.0002365851,0.0001142859,0.0001185588,0.0003635735,0.0009442359,0.0001119589,0.000008005842],"category_scores_gemma":[0.0007694268,0.000134756,0.0002192849,0.0002028834,0.00002934973,0.0006068671,0.0001227874,0.0004290247,0.00001517904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000661611,"about_ca_system_score_gemma":0.0001589086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001424397,"about_ca_topic_score_gemma":4.986215e-7,"domain_scores_codex":[0.9985635,0.00005919422,0.0004863585,0.0002592148,0.0003189917,0.0003127129],"domain_scores_gemma":[0.9982778,0.0004496343,0.0003902322,0.0002929964,0.0004805721,0.0001087793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002075168,0.0007192197,0.003075863,0.0004250089,0.0007694318,0.000316058,0.05728098,0.0008300715,0.04197134,0.05463793,0.2480719,0.5916947],"study_design_scores_gemma":[0.002294586,0.0008749697,0.001054878,0.002517678,0.0001064652,0.002586108,0.0002025489,0.2108016,0.2550187,0.4609726,0.06242343,0.001146418],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03576663,0.0002363327,0.9450947,0.001532722,0.0170452,0.00006152633,1.610895e-7,0.00007145385,0.0001912674],"genre_scores_gemma":[0.2990109,0.00001097909,0.6972126,0.001071858,0.002176682,0.000003000318,0.000001577618,0.00001866539,0.0004937722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5905482,"threshold_uncertainty_score":0.5495189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103154639554065,"score_gpt":0.2698465222230292,"score_spread":0.2488149758274885,"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."}}