{"id":"W7124862619","doi":"10.5515/kjkiees.2025.36.12.1186","title":"Robust Space Object Track Initiation Based on Constrained Optimization and the Unscented Transform","year":2025,"lang":"en","type":"article","venue":"The Journal of Korean Institute of Electromagnetic Engineering and Science","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Defense Acquisition Program Administration","keywords":"Control theory (sociology); Position (finance); Track (disk drive); Particle filter; Tracking (education); Monte Carlo method; Trajectory; Stability (learning theory); Orbit (dynamics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001466776,0.0001013797,0.0001607598,0.0002286752,0.0002185268,0.0001036002,0.0005081324,0.00002886283,0.000001174102],"category_scores_gemma":[0.0002431002,0.00005855415,0.00003149751,0.0007915362,0.0005692389,0.000313416,0.00002733962,0.0002178244,5.362381e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002040763,"about_ca_system_score_gemma":0.0001840372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009471569,"about_ca_topic_score_gemma":0.000002002727,"domain_scores_codex":[0.9990909,0.00004376037,0.000284092,0.0001194108,0.0002900375,0.0001718763],"domain_scores_gemma":[0.9991589,0.000307873,0.0001342986,0.000204874,0.0001428454,0.00005126328],"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":[0.00007262368,0.00002119058,0.000009539524,0.00001928245,0.000007717514,0.000002097298,0.0002891089,0.9587049,0.004377882,0.03272201,0.00003780698,0.003735763],"study_design_scores_gemma":[0.001071375,0.0002974458,0.0005370758,0.0001758229,0.00002818637,0.00006985437,0.00002191654,0.9941989,0.003239023,0.0002324313,0.000064126,0.0000639004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08785772,0.0004118689,0.9074934,0.002839252,0.0003553551,0.000141974,0.000001224575,0.00002401852,0.0008751716],"genre_scores_gemma":[0.9677416,0.0003556341,0.03176075,0.0001069442,0.00002091164,7.624038e-7,4.627057e-7,0.000002635388,0.00001027326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8798839,"threshold_uncertainty_score":0.2387769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006859336435876325,"score_gpt":0.198808381387431,"score_spread":0.1919490449515546,"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."}}