{"id":"W4318823673","doi":"10.1109/tnsm.2022.3227775","title":"Guest Editorial: Special Issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services—Part I","year":2022,"lang":"en","type":"editorial","venue":"IEEE Transactions on Network and Service Management","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Western University; University of Saskatchewan; Ontario Tech University; Dalhousie University","funders":"","keywords":"Computer science; Big data; Artificial intelligence; Cloud computing; Data science; Telecommunications; Data mining","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":[0.005946944,0.003909257,0.004273304,0.003603286,0.003366704,0.01047965,0.003514375,0.01294076,0.0257634],"category_scores_gemma":[0.01959919,0.001328613,0.002779784,0.001718232,0.00237748,0.005010852,0.001588322,0.01924301,0.02177415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002675771,"about_ca_system_score_gemma":0.003132351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011451,"about_ca_topic_score_gemma":0.00364451,"domain_scores_codex":[0.9953631,0.0005679934,0.0004783486,0.0006518906,0.002603104,0.0003355863],"domain_scores_gemma":[0.9809613,0.005642057,0.001316259,0.0005270694,0.007907467,0.003645802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002421588,0.00001255291,0.00002133232,0.0001233127,0.00001187993,0.00007821957,0.000005324909,0.00002347198,0.00004818715,0.000185671,0.9965748,0.002891124],"study_design_scores_gemma":[0.00007092152,0.00003476694,0.0003010161,0.0003186719,0.00004756267,0.0002964983,0.00003235444,0.000262585,0.0001504667,0.00114553,0.9973174,0.00002228465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000226535,0.002416045,0.0001009998,0.01889497,0.9770139,0.0000178051,0.00004518055,0.00004313367,0.001445323],"genre_scores_gemma":[0.0001910384,0.00188707,0.00005681786,0.007050065,0.9850118,0.00001479244,0.00002736779,0.00003015356,0.005730772],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0257634,"threshold_uncertainty_score":0.08618712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06811678727619286,"score_gpt":0.3363979240685288,"score_spread":0.268281136792336,"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."}}