{"id":"W7123724089","doi":"10.1109/iscc65549.2025.11326442","title":"SkyNetPredictor: Network Performance Prediction in Avionic Communication using AI","year":2025,"lang":"","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Avionics; Performance prediction; Aviation; Interdependence; Cockpit; Network performance; Telecommunications network; Air traffic control","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004817447,0.0002562754,0.0002415815,0.0003370944,0.0002600895,0.0001297751,0.0002987577,0.0002394095,0.0005640308],"category_scores_gemma":[0.00001592299,0.0003101256,0.00005769846,0.001325853,0.00005037607,0.0007673635,0.000158646,0.0004395054,0.00002853734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460936,"about_ca_system_score_gemma":0.00006158967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000058414,"about_ca_topic_score_gemma":0.00009937798,"domain_scores_codex":[0.9983402,0.00008687657,0.0006891997,0.0002753192,0.000177958,0.0004304012],"domain_scores_gemma":[0.9992125,0.00006014749,0.00006940789,0.000553416,0.00006247275,0.00004207612],"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":[0.00002153486,0.00004499987,0.03649042,0.000229225,0.0000431238,3.211798e-7,0.0001601198,0.945048,0.000005982116,0.003092958,0.007363671,0.007499686],"study_design_scores_gemma":[0.0007038991,0.00002578161,0.03341004,0.0008070621,0.00009558284,4.423011e-7,0.00009592805,0.9602847,0.0000175684,0.000109774,0.004252911,0.0001963464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1796524,0.006589891,0.6536598,0.0006300234,0.00307455,0.00149865,0.000006247613,0.0008454528,0.1540429],"genre_scores_gemma":[0.9861617,0.005448987,0.004700055,0.0001478551,0.0001341489,0.0000246041,0.00009438438,0.00002853402,0.003259704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8065093,"threshold_uncertainty_score":0.9999351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007277464401037398,"score_gpt":0.2182849230254704,"score_spread":0.211007458624433,"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."}}