{"id":"W4392246655","doi":"10.1016/j.comnet.2024.110294","title":"Zero-touch networks: Towards next-generation network automation","year":2024,"lang":"en","type":"article","venue":"Computer Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; Western University","funders":"","keywords":"Computer science; Zero (linguistics); Automation; Computer network; Embedded 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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007894168,0.0004519361,0.0003891875,0.0001838107,0.0005025862,0.00284159,0.001229531,0.0003075206,0.000008497918],"category_scores_gemma":[0.000008185299,0.0004371689,0.0002401086,0.001556449,0.00005294894,0.001429729,0.0008322183,0.0006163942,0.0001369574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001571383,"about_ca_system_score_gemma":0.0001273524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515899,"about_ca_topic_score_gemma":0.000002263719,"domain_scores_codex":[0.9966319,0.0002196912,0.0006624453,0.001040292,0.0004108314,0.001034846],"domain_scores_gemma":[0.9984448,0.0002091267,0.000129675,0.0008530354,0.0001376545,0.0002257202],"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":[0.000001408375,0.00001347497,0.00003878946,0.00001327616,0.00003419602,0.00003426901,0.0001454483,0.3906427,0.000005354169,0.004377867,0.2216786,0.3830146],"study_design_scores_gemma":[0.000152656,0.00008790856,0.0004866326,0.0002082968,0.00001927122,0.00006383847,6.759392e-7,0.9394155,0.000009774319,0.001641981,0.05744314,0.0004703947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00122047,0.004336715,0.9151785,0.0006744539,0.07526772,0.0002980084,1.203983e-7,0.002177553,0.0008464073],"genre_scores_gemma":[0.6268972,0.0002857263,0.2408068,0.002618016,0.1286743,0.00005357403,0.0001357156,0.0001160514,0.0004125854],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6743717,"threshold_uncertainty_score":0.999808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03595581639039572,"score_gpt":0.2483803113700906,"score_spread":0.2124244949796949,"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."}}