{"id":"W4410227586","doi":"10.1109/wcnc61545.2025.10978361","title":"Enhanced Over-the-Air Federated Learning Using AI-Based Fluid Antenna System","year":2025,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0005394563,0.000208349,0.0002340772,0.0002191407,0.0006223254,0.0004336229,0.01559823,0.0001436145,0.00001135346],"category_scores_gemma":[0.005332809,0.000159471,0.00006777179,0.001420805,0.00009826815,0.0004908883,0.02912853,0.0004135896,0.00003064851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490646,"about_ca_system_score_gemma":0.0002277618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001849997,"about_ca_topic_score_gemma":0.00001882181,"domain_scores_codex":[0.9981465,0.0001681716,0.0003297944,0.000611026,0.0002932731,0.0004512461],"domain_scores_gemma":[0.9945687,0.0002771192,0.0001089583,0.004859092,0.0001488635,0.00003726251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009910233,0.0002580016,0.003989028,0.000793709,0.0003735439,0.0001769821,0.0001545664,0.009126389,0.670689,0.0999467,0.1622309,0.052162],"study_design_scores_gemma":[0.0002800323,0.0000240933,0.0002811635,0.0002139211,0.000006681403,0.000004196355,0.00007351727,0.9102448,0.08619427,0.001870042,0.0006391374,0.0001681322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04091148,0.000109249,0.942819,0.009973199,0.0005132238,0.0002234631,0.000001749726,0.003061791,0.00238687],"genre_scores_gemma":[0.9117911,0.000003240583,0.08694932,0.0009973781,0.00001548754,0.00001497471,0.000003543159,0.00001051252,0.0002144032],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9011184,"threshold_uncertainty_score":0.9897279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106557549894539,"score_gpt":0.27926157904131,"score_spread":0.2581960035423646,"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."}}