{"id":"W7125951347","doi":"10.1109/icmnwc66779.2025.11354198","title":"Co-Adaptive End-to-End Synergistic AI for Real-Time Traffic Prediction and Load Balancing in Mobile Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reinforcement learning; Graph; Load balancing (electrical power); Automation; Data stream mining; Mobile agent; Normalization (sociology)","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":[0.0006719186,0.0008284923,0.0006718494,0.0004260756,0.0004734728,0.0007862164,0.001290357,0.0005716572,0.0009286918],"category_scores_gemma":[0.001219851,0.0003117042,0.0004891761,0.00046572,0.0005061856,0.0009572707,0.00117597,0.001193867,0.0002404266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000538465,"about_ca_system_score_gemma":0.0009474128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006631387,"about_ca_topic_score_gemma":0.007049522,"domain_scores_codex":[0.999536,0.00008942861,0.00002317135,0.0001394437,0.0001266417,0.00008536854],"domain_scores_gemma":[0.9994758,0.0002012207,0.00006125704,0.00006481557,0.0001478863,0.0000490991],"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":[0.0001660991,0.0002062939,0.001302336,0.00005757439,0.0000669548,0.0001650485,0.0001322485,0.8492359,0.0136758,0.005030622,0.001347894,0.1286132],"study_design_scores_gemma":[0.00000234919,0.00001970413,0.00009144979,0.000001213546,0.000004741121,0.000008783387,0.000008283729,0.9979302,0.0008262391,0.0008665508,0.0002376961,0.000002865112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0414392,0.0004252863,0.953951,0.0001809107,0.00007554624,0.00004657448,0.0000345363,0.001251719,0.002595242],"genre_scores_gemma":[0.946776,0.0001498309,0.05119528,0.0001038607,0.00003456581,0.00006541733,0.00006963826,0.00003798589,0.001567381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006631387,"threshold_uncertainty_score":0.01318556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005189884279690506,"score_gpt":0.2326720660804963,"score_spread":0.2274821818008058,"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."}}