{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000739618,0.0009400357,0.0004364713,0.0008725343,0.000234849,0.0005157234,0.0009457947,0.0005822417,0.002339401],"category_scores_gemma":[0.002462672,0.000232993,0.0003794095,0.0007130448,0.0002294387,0.0007758471,0.0004397993,0.0008476316,0.0007300763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000669532,"about_ca_system_score_gemma":0.0007002566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213443,"about_ca_topic_score_gemma":0.0196842,"domain_scores_codex":[0.9997632,0.00005953813,0.00001447155,0.00006646634,0.00006580617,0.00003062455],"domain_scores_gemma":[0.9991628,0.0005096657,0.00008478861,0.00007048421,0.0001295347,0.00004268321],"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":[0.00009317008,0.00009210578,0.007432192,0.00006544365,0.00005011737,0.00004426041,0.00001597713,0.9503227,0.0004991525,0.0009558042,0.005124179,0.03530494],"study_design_scores_gemma":[0.00000262325,0.00001149489,0.0004698409,0.000002035706,0.000002103599,0.000003970092,0.000002854801,0.9986331,0.0002028853,0.0003753027,0.0002918348,0.000002022304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4701553,0.002143537,0.47122,0.001571867,0.0004290655,0.000324104,0.01343405,0.02761251,0.01310967],"genre_scores_gemma":[0.9061009,0.0004551286,0.08288399,0.0001318985,0.00008657427,0.0001927707,0.007201043,0.0002252204,0.002722482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02213443,"threshold_uncertainty_score":0.04401118,"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."}}