{"id":"W4415125331","doi":"10.1109/itc-egypt66095.2025.11186656","title":"Large Language Models in Intent-Based Networking: a Comprehensive Survey Across the Intent Lifecycle","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Adaptation (eye); TRACE (psycholinguistics); Interpretation (philosophy); Perspective (graphical); Taxonomy (biology); Decision support 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004377681,0.001446864,0.001518511,0.004225987,0.0007539436,0.005530681,0.002548972,0.001701998,0.004554538],"category_scores_gemma":[0.01380218,0.001417662,0.001965104,0.004648581,0.001444674,0.01033443,0.002297364,0.003543589,0.002147887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481608,"about_ca_system_score_gemma":0.003962511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029571,"about_ca_topic_score_gemma":0.008527422,"domain_scores_codex":[0.9972265,0.0009719732,0.000312769,0.0004298689,0.0009035441,0.0001552435],"domain_scores_gemma":[0.9888704,0.008707467,0.0003923733,0.0007613457,0.001083971,0.0001845206],"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":[0.0001351892,0.0002787303,0.004221282,0.004756102,0.0002307759,0.0003594052,0.001837165,0.06332599,0.001461284,0.2767062,0.02969743,0.6169904],"study_design_scores_gemma":[0.00003028404,0.0001604921,0.00194475,0.00416172,0.0002702679,0.0007970596,0.001252711,0.2860679,0.0022139,0.2888904,0.4140144,0.0001961378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01739883,0.3451393,0.581481,0.0106554,0.0007456688,0.0004441324,0.002429064,0.002961121,0.03874551],"genre_scores_gemma":[0.1891168,0.4495504,0.3368203,0.003449692,0.001619944,0.0009253588,0.007070942,0.001558964,0.009887618],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01029571,"threshold_uncertainty_score":0.02315164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264229903850841,"score_gpt":0.3127930279189379,"score_spread":0.2801507288804295,"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."}}