{"id":"W4388343237","doi":"10.1016/j.inffus.2023.102120","title":"A deep learning model based on transformer structure for radar tracking of maneuvering targets","year":2023,"lang":"en","type":"article","venue":"Information Fusion","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Encoder; Normalization (sociology); Trajectory; Artificial intelligence; Computer vision","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":[0.0003528266,0.0004206337,0.0005088254,0.0002653009,0.0001821525,0.0004432888,0.0009223138,0.0007085341,0.001466861],"category_scores_gemma":[0.0008373233,0.0002986157,0.0004632505,0.0004422434,0.0002782845,0.000959319,0.0006776006,0.001276585,0.0004845753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004799713,"about_ca_system_score_gemma":0.000746168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006377192,"about_ca_topic_score_gemma":0.006894469,"domain_scores_codex":[0.9998883,0.00002044289,0.000006916514,0.00003148058,0.00003323737,0.00001961108],"domain_scores_gemma":[0.9998012,0.000070469,0.0000210477,0.00002197725,0.00007041876,0.0000147884],"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":[0.0001044488,0.00006376601,0.0005533885,0.00007469049,0.00005286932,0.00004564432,0.0000306438,0.8066548,0.01152905,0.01757322,0.002380401,0.1609371],"study_design_scores_gemma":[0.000001262216,0.000007207987,0.00002329662,0.000001227186,0.000003056609,0.000003952816,6.547314e-7,0.9981666,0.0004603913,0.001192931,0.0001380683,0.000001403252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01013518,0.0002550687,0.9881788,0.0001142237,0.00004630228,0.00001035341,0.00007243471,0.0003392631,0.0008482609],"genre_scores_gemma":[0.8030708,0.0006908897,0.1878196,0.0002422251,0.00006424522,0.00007763138,0.000524047,0.0001314321,0.007379093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006377192,"threshold_uncertainty_score":0.01268011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343315515355742,"score_gpt":0.2355000564155213,"score_spread":0.2220669012619639,"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."}}