{"id":"W4402593112","doi":"10.1109/tits.2024.3452647","title":"An Assignment Method for Multiple Extended Target Tracking With Azimuth Ambiguity Based on Pseudo Measurement Set","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada); McMaster University","funders":"","keywords":"Azimuth; Ambiguity; Tracking (education); Set (abstract data type); Computer science; Artificial intelligence; Algorithm; Computer vision; Mathematics","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":[0.00139718,0.0004548396,0.0003942477,0.000441686,0.0002273621,0.0001571348,0.000141915,0.0001631129,0.00006487207],"category_scores_gemma":[0.000005985083,0.0004079926,0.0002467889,0.0004428425,0.000025697,0.0003225653,6.333024e-8,0.0003689705,0.00001701661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005180055,"about_ca_system_score_gemma":0.00007456135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000367223,"about_ca_topic_score_gemma":0.0001595831,"domain_scores_codex":[0.9970787,0.0001814716,0.0007224812,0.0006267102,0.0009926601,0.0003980332],"domain_scores_gemma":[0.9987823,0.0002611868,0.00007113162,0.0003931377,0.0002788284,0.0002133808],"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":[0.0003836692,0.0001818319,0.00001220149,0.0005416404,0.0001888816,0.000006887253,0.0006295944,0.9471924,0.02887755,0.00006638421,0.00003785262,0.02188116],"study_design_scores_gemma":[0.0006038729,0.000587552,0.00005962034,0.0003959509,0.0001428368,0.000002511559,0.0004830762,0.6466337,0.3480563,0.00003884192,0.002617353,0.0003783064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001431363,0.0001444193,0.992215,0.0000236236,0.002865039,0.001660026,0.0003683198,0.001205767,0.00008639896],"genre_scores_gemma":[0.9375192,0.00002000033,0.06085342,0.00003578683,0.0001132947,0.001206546,0.00005882798,0.0001347475,0.00005818007],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9360878,"threshold_uncertainty_score":0.9998372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06927886752093439,"score_gpt":0.3214689855212027,"score_spread":0.2521901180002684,"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."}}