{"id":"W2139005228","doi":"10.1109/cdc.1994.411646","title":"Tracking maneuvering targets via an ARMA type filter","year":2002,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Tracking (education); Filter (signal processing); Computer science; Type (biology); Variable (mathematics); Scheme (mathematics); Artificial intelligence; Computer vision; Control theory (sociology); Mathematics; Control (management); Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000142027,0.0001525733,0.0001318387,0.00007584234,0.0001789356,0.0002564947,0.0008146319,0.00007520861,0.001604839],"category_scores_gemma":[0.00001497388,0.0001351001,0.00004362386,0.0002915312,0.00002278212,0.000981906,0.0001846066,0.0001909296,0.0006782896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001527708,"about_ca_system_score_gemma":0.000003678457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002396981,"about_ca_topic_score_gemma":0.00000865287,"domain_scores_codex":[0.9986805,0.00004904435,0.0002119225,0.0004423076,0.0002379418,0.0003782565],"domain_scores_gemma":[0.9989399,0.00005347798,0.00004724675,0.0007422864,0.00006266943,0.0001543597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001364005,0.0004409139,0.002243824,0.00002783572,0.00003833754,0.0003708798,0.002506377,0.005910762,0.007946883,0.01539558,0.1123086,0.8527964],"study_design_scores_gemma":[0.0002529831,0.0001162769,0.001876283,0.00001728322,0.000004731144,0.0001208283,0.00002011222,0.9056335,0.003174762,0.0007743902,0.08758142,0.0004274466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02711821,0.0003782915,0.9441482,0.0005844678,0.00241237,0.0001253231,0.000002350703,0.00125057,0.02398018],"genre_scores_gemma":[0.9193479,0.00004525484,0.07809259,0.0009485993,0.000265474,0.000002234553,0.000006953567,0.00001639864,0.001274529],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8997227,"threshold_uncertainty_score":0.9993078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419559271421436,"score_gpt":0.2447910920062371,"score_spread":0.2005954992920228,"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."}}