{"id":"W4396752925","doi":"10.2139/ssrn.4820782","title":"Automated Orchestration of Virtualized Mobile Core Network Deployments","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Orchestration; Computer science; Core (optical fiber); Network Functions Virtualization; Core network; Operating system; Computer network; Cloud computing; Telecommunications","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":[0.001859843,0.00097809,0.000926998,0.00103572,0.000746173,0.002142861,0.001644006,0.000492624,0.003410722],"category_scores_gemma":[0.006145092,0.00063527,0.0005229037,0.0006301866,0.0006077468,0.001687249,0.003275982,0.0009271168,0.0007293007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000724025,"about_ca_system_score_gemma":0.001214458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080311,"about_ca_topic_score_gemma":0.003321943,"domain_scores_codex":[0.9979672,0.000532528,0.0001245347,0.0004486321,0.0005454139,0.0003816274],"domain_scores_gemma":[0.9968773,0.001099509,0.0001961883,0.001028267,0.00040723,0.0003914034],"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":[0.002487268,0.0004360772,0.01027578,0.0003781734,0.0003034796,0.001072015,0.0009651217,0.34088,0.1287608,0.02098478,0.01643131,0.4770252],"study_design_scores_gemma":[0.00003711384,0.00008802748,0.001130221,0.00001436473,0.00003313148,0.00008879203,0.0001387346,0.9741693,0.01351123,0.006312905,0.004459899,0.00001630979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2178161,0.0006653497,0.7423523,0.000374285,0.0003708322,0.00045746,0.0004558752,0.02704354,0.01046428],"genre_scores_gemma":[0.8443983,0.0001451952,0.1517349,0.00008616914,0.00004919218,0.0001303599,0.0007024073,0.0008943423,0.001859185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003410722,"threshold_uncertainty_score":0.01141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814044742703237,"score_gpt":0.2742298080908022,"score_spread":0.2560893606637699,"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."}}