{"id":"W4409796734","doi":"10.1109/comst.2025.3564333","title":"A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Computer science; Service (business); Data science; Knowledge management; Management science; Process management; Business; Engineering; Marketing","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":[0.005517442,0.00235816,0.002402925,0.005039749,0.0009671827,0.006737059,0.004177024,0.002290779,0.008840655],"category_scores_gemma":[0.02190007,0.001247564,0.003098689,0.006530087,0.001535268,0.01340197,0.003027184,0.004565557,0.00452441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002991351,"about_ca_system_score_gemma":0.005283825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125418,"about_ca_topic_score_gemma":0.01122427,"domain_scores_codex":[0.9953734,0.001915317,0.0006325049,0.0007029995,0.001183646,0.0001922575],"domain_scores_gemma":[0.984396,0.01233717,0.0004242764,0.001064351,0.001558767,0.0002194843],"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":[0.0001504814,0.0002140861,0.003279788,0.006980358,0.0003812504,0.000627855,0.001330466,0.03855133,0.0021415,0.2142353,0.09421288,0.6378947],"study_design_scores_gemma":[0.00003651823,0.0001175502,0.001280289,0.003284693,0.000269068,0.0010474,0.0009587444,0.3054505,0.001505896,0.2416226,0.4442327,0.0001941731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.006420512,0.2249926,0.7160202,0.01999194,0.001400926,0.0004729619,0.006050663,0.005754598,0.01889559],"genre_scores_gemma":[0.1039553,0.3833488,0.4639548,0.009554273,0.003677889,0.001492307,0.02142869,0.002331815,0.01025606],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01125418,"threshold_uncertainty_score":0.02957493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001481752953331,"score_gpt":0.2858464077188931,"score_spread":0.2558315901893598,"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."}}