{"id":"W4220839771","doi":"10.1145/3523057","title":"Machine Learning for Computer Systems and Networking: A Survey","year":2022,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; Canada First Research Excellence Fund; Joint Programming Initiative Water challenges for a changing world; Pennsylvania State University","keywords":"Computer science; Machine learning; Artificial intelligence; Overhead (engineering); De facto; Domain (mathematical analysis); Set (abstract data type); Taxonomy (biology); Human–computer interaction; Operating system; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645594,0.0008652218,0.001069066,0.003959494,0.0005574232,0.001952112,0.00111785,0.001591756,0.007092384],"category_scores_gemma":[0.003145016,0.000546049,0.0005456182,0.007627734,0.0006783902,0.004063625,0.0008998784,0.002161172,0.004360726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121009,"about_ca_system_score_gemma":0.002024354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888173,"about_ca_topic_score_gemma":0.002462244,"domain_scores_codex":[0.9990898,0.0002035249,0.00007879156,0.0001110654,0.0004537637,0.00006298175],"domain_scores_gemma":[0.9971193,0.001885603,0.0001386595,0.0001140041,0.0006430611,0.00009937499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002056987,0.00007710058,0.0006440253,0.006500531,0.0000474361,0.00007356532,0.00008368047,0.001001275,0.0003562382,0.02346869,0.07954154,0.8881853],"study_design_scores_gemma":[0.000005034013,0.00006416861,0.001004544,0.003606615,0.00004215285,0.0003947683,0.00009791106,0.0008153387,0.0002366087,0.01218457,0.9815267,0.0000216757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003628784,0.9854221,0.002770653,0.002107921,0.0005781503,0.00002139816,0.00004837498,0.00005088598,0.008637642],"genre_scores_gemma":[0.002151519,0.9924958,0.001661806,0.000543293,0.001006666,0.00001694255,0.00008460677,0.0000129776,0.002026383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007092384,"threshold_uncertainty_score":0.0237264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022091545996425,"score_gpt":0.315509840785039,"score_spread":0.2133006861853965,"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."}}