{"id":"W4409310499","doi":"10.1109/taes.2025.3556810","title":"Comprehensive Track Unswappinng for Improved Tracker Performance","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Radar tracker; Computer science; Track (disk drive); Radar; Telecommunications","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":[0.001406561,0.001147731,0.001201491,0.001341075,0.001241741,0.001702257,0.001309449,0.001047836,0.004275725],"category_scores_gemma":[0.005813201,0.0004509442,0.0006102008,0.001492242,0.0004877509,0.001809986,0.001781925,0.001543378,0.002696086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004603893,"about_ca_system_score_gemma":0.002277051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125974,"about_ca_topic_score_gemma":0.004718658,"domain_scores_codex":[0.9987748,0.0001391271,0.00008203279,0.0003054665,0.0005559933,0.0001424689],"domain_scores_gemma":[0.9976675,0.0006273003,0.0003729214,0.0006896113,0.0005277665,0.0001147561],"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":[0.000499483,0.0001776188,0.007020919,0.0001753434,0.00009437925,0.0001915334,0.000313265,0.09896939,0.05251094,0.004731877,0.004396521,0.8309187],"study_design_scores_gemma":[0.00006040536,0.0005117482,0.01104336,0.00005593325,0.0001241972,0.0007881218,0.0001534119,0.9204186,0.04694656,0.005165421,0.01466288,0.00006950704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03132745,0.0007984081,0.9589295,0.000157796,0.0001443528,0.00008916885,0.0001361852,0.003751928,0.004665317],"genre_scores_gemma":[0.6433302,0.0006140903,0.3458443,0.0003047113,0.0001572453,0.0001277365,0.001140218,0.0004985508,0.007983072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004275725,"threshold_uncertainty_score":0.01430374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039008661997453,"score_gpt":0.2631770406290271,"score_spread":0.2527869540090525,"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."}}