{"id":"W3096460114","doi":"10.1109/jsac.2020.3003065","title":"Guest Editorial Special Issue on Advances in Artificial Intelligence and Machine Learning for Networking","year":2020,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Telecommunications; Data science","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":[0.004321825,0.003211239,0.003088344,0.003710907,0.003013321,0.008083405,0.002387545,0.008954506,0.04826279],"category_scores_gemma":[0.01409581,0.0009741984,0.001996039,0.001601015,0.001508774,0.004448595,0.001644524,0.01256856,0.04067657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305427,"about_ca_system_score_gemma":0.00307327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205944,"about_ca_topic_score_gemma":0.005192734,"domain_scores_codex":[0.9966814,0.0003599947,0.0003317142,0.0003956313,0.001938636,0.0002925076],"domain_scores_gemma":[0.9880475,0.002698161,0.0007058458,0.0002927591,0.005701621,0.002554078],"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":[0.00001992721,0.000007262535,0.00001479002,0.0001053462,0.000006247604,0.0000597334,0.000004236559,0.00001591939,0.00004388507,0.0002061169,0.9960978,0.003418658],"study_design_scores_gemma":[0.00004602237,0.00002370459,0.0001671003,0.0002520389,0.00002274176,0.0001922315,0.00002394863,0.0001173535,0.0001031232,0.0009720327,0.9980673,0.00001246985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002539465,0.002185209,0.0001004646,0.01579154,0.9785997,0.00002006477,0.00009197212,0.00006049947,0.00312514],"genre_scores_gemma":[0.0003345105,0.00325014,0.00009875833,0.0098031,0.9664603,0.00002674891,0.00007898165,0.00006660005,0.01988079],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04826279,"threshold_uncertainty_score":0.1614552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343439100199471,"score_gpt":0.3222456168222435,"score_spread":0.2788112258202488,"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."}}