{"id":"W3160827123","doi":"10.1109/icassp39728.2021.9414531","title":"Efficient Migration to the Next Generation of Networks Based on Digital Annealing","year":2021,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Exploit; Quadratic unconstrained binary optimization; Optimization problem; Node (physics); Distributed computing; Network topology; Mathematical optimization; Computer network; Engineering; Algorithm; Mathematics","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":[0.000142745,0.00007047498,0.00007288413,0.00003061714,0.00009045102,0.0002823175,0.0002057498,0.00003149693,0.00001098201],"category_scores_gemma":[0.00005535304,0.00004751235,0.00004798256,0.0004831814,0.000007439928,0.00007530243,0.00006418199,0.00005229947,0.00001141702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001543782,"about_ca_system_score_gemma":0.00003846605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001125856,"about_ca_topic_score_gemma":0.00004226825,"domain_scores_codex":[0.9992643,0.00003255754,0.0001542385,0.0002164079,0.0002001934,0.0001322754],"domain_scores_gemma":[0.999283,0.000143611,0.00003943166,0.0003836196,0.000107714,0.00004269147],"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":[0.00000227659,0.00002849957,0.0001832922,9.097976e-7,0.000001981655,0.000001415846,0.00007071368,0.965057,0.0001255681,0.002663487,0.002817319,0.0290475],"study_design_scores_gemma":[0.00007919803,0.00005365404,0.0004892842,0.00001280085,0.000001649975,0.000001085843,0.00001125242,0.9968669,0.001273702,0.00001887985,0.001130452,0.00006110537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0626341,0.00008131294,0.9335907,0.002751153,0.0003525625,0.00008674352,0.000001005501,0.00005447886,0.0004479649],"genre_scores_gemma":[0.9869263,0.00000225589,0.01078273,0.001983711,0.0002027536,0.000007070514,0.00001434133,0.000004303041,0.00007659785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9242921,"threshold_uncertainty_score":0.2722394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043566996840113,"score_gpt":0.2342828178003891,"score_spread":0.1907158209602761,"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."}}