{"id":"W2591344039","doi":"10.1109/tcyb.2016.2645123","title":"Virtual Network Embedding via Monte Carlo Tree Search","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Network virtualization; Monte Carlo tree search; Distributed computing; Embedding; Virtual network; Node (physics); Virtualization; Monte Carlo method; Cloud computing; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000289682,0.0002643472,0.0002596022,0.00009202591,0.001163958,0.0005750502,0.001537974,0.0001748546,0.00003493778],"category_scores_gemma":[0.000008201153,0.0002635045,0.0001816176,0.0002125393,0.0001384647,0.0004032663,0.00001870444,0.0005359539,0.0001642287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007275015,"about_ca_system_score_gemma":0.00006427772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002414622,"about_ca_topic_score_gemma":0.0003230435,"domain_scores_codex":[0.9979691,0.00007536557,0.0002891874,0.0005461497,0.0004756541,0.0006445253],"domain_scores_gemma":[0.9977055,0.0002409684,0.0001104055,0.00161415,0.0001010057,0.000228008],"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":[0.00002409349,0.0001117127,0.0001297376,0.000004643906,0.00005980649,0.00003428604,0.0004723374,0.6473292,0.00006567295,0.001041332,0.001594535,0.3491327],"study_design_scores_gemma":[0.0007971438,0.000415173,0.002397393,0.00008439547,0.00004244611,0.00003519683,0.00002331852,0.9896823,0.00195927,0.000766093,0.003278928,0.0005183892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01769697,0.0001041216,0.977363,0.0005007412,0.002486831,0.0001823936,0.000006839301,0.0002947037,0.001364387],"genre_scores_gemma":[0.9794237,0.0001404964,0.01765713,0.0001997285,0.0003610684,0.00002377087,4.773536e-7,0.00003601902,0.002157636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9617267,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488330108598738,"score_gpt":0.2713734207189075,"score_spread":0.2464901196329201,"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."}}