{"id":"W4409426678","doi":"10.1109/access.2025.3560601","title":"Sectoring Approach for Performance Enhancement of MTT and Its Application on JPDA Algorithm","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Algorithm","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":[0.0009770967,0.0004699151,0.000551865,0.0006128378,0.0004017653,0.0006531457,0.000570229,0.000496075,0.001701033],"category_scores_gemma":[0.004076277,0.0002020578,0.0004043531,0.0009067528,0.000380201,0.0009191652,0.001013647,0.0006828175,0.0005073526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003487224,"about_ca_system_score_gemma":0.001225681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003095211,"about_ca_topic_score_gemma":0.002081951,"domain_scores_codex":[0.9992606,0.0002349968,0.00006249896,0.000138082,0.0002373145,0.00006652594],"domain_scores_gemma":[0.9984479,0.0006385436,0.00010213,0.0003103289,0.0004464089,0.0000546108],"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":[0.0003032253,0.00008475392,0.003292399,0.0001041283,0.00004536793,0.0001348403,0.0001918596,0.5051289,0.02494653,0.01319956,0.002152695,0.4504158],"study_design_scores_gemma":[0.000009386853,0.00005353012,0.0002396186,0.000003761847,0.000006412337,0.00006441164,0.0000124375,0.9942394,0.002526533,0.001480762,0.001356831,0.000006751774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01711658,0.0003212947,0.9804152,0.00009379467,0.0000538524,0.00002226599,0.00002387271,0.0005268587,0.00142625],"genre_scores_gemma":[0.551546,0.0004771669,0.4461148,0.0001015544,0.00005314885,0.00008804303,0.000130023,0.00008876361,0.001400493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003095211,"threshold_uncertainty_score":0.006154358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520751897779058,"score_gpt":0.2723757759365495,"score_spread":0.2571682569587589,"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."}}