{"id":"W2105905583","doi":"10.1109/taes.2007.4441756","title":"PHD filters of higher order in target number","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":972,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Filter (signal processing); Moment (physics); Mathematics; Probability density function; Order (exchange); Nonlinear system; Nonlinear filter; Algorithm; Computer science; Applied mathematics; Filter design; Statistics; Physics","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":[0.002761508,0.0006142035,0.0007493207,0.0006571459,0.0004364117,0.001340897,0.0008490838,0.001253807,0.002781816],"category_scores_gemma":[0.01018784,0.0006185471,0.0008387447,0.0006337026,0.001413521,0.00294494,0.001365313,0.002125518,0.0009859006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643647,"about_ca_system_score_gemma":0.001172873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856088,"about_ca_topic_score_gemma":0.002007,"domain_scores_codex":[0.9987506,0.0002938339,0.00005735439,0.000275599,0.0005048941,0.0001176603],"domain_scores_gemma":[0.9944008,0.003375161,0.0005361059,0.0006063274,0.0009495811,0.0001318573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002749571,0.00006949194,0.001948029,0.0002000516,0.00006339261,0.0002234555,0.0003134567,0.320136,0.02543046,0.5306076,0.002254885,0.1184781],"study_design_scores_gemma":[0.00001564705,0.00003521194,0.0003910136,0.0000133291,0.000008445667,0.00009163084,0.00001444661,0.9473168,0.005296757,0.0443917,0.0023996,0.00002537936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004522493,0.00009173492,0.9939745,0.0001493489,0.00002170455,0.00001146252,0.00003059857,0.0001026638,0.001095544],"genre_scores_gemma":[0.4095946,0.000887605,0.5690587,0.0005563454,0.0002130755,0.0001805487,0.0003023388,0.000163736,0.01904304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002781816,"threshold_uncertainty_score":0.01460445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105888183286928,"score_gpt":0.2424716310828631,"score_spread":0.2314127492499938,"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."}}