{"id":"W2008179192","doi":"10.1109/icif.2010.5711930","title":"A new co-located MIMO radar system for multi-target tracking and localization","year":2010,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"MIMO; Computer science; Radar tracker; Observability; Kalman filter; Radar; Tracking (education); Radar engineering details; Phased array; Control theory (sociology); Algorithm; Electronic engineering; Radar imaging; Telecommunications; Engineering; Mathematics; Artificial intelligence; Antenna (radio); Beamforming","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":[],"consensus_categories":[],"category_scores_codex":[0.0001338482,0.0001121016,0.0001507622,0.00004896856,0.00008903659,0.00009716315,0.00005299698,0.00009676964,0.00001444665],"category_scores_gemma":[0.00001407374,0.00009891411,0.00002452486,0.00007543757,0.000008903613,0.000157721,0.000003965507,0.00008219651,0.000005253655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001796722,"about_ca_system_score_gemma":0.00001936878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009462871,"about_ca_topic_score_gemma":0.00006583885,"domain_scores_codex":[0.999434,0.00000611215,0.0002003093,0.0001288655,0.00007350583,0.0001572339],"domain_scores_gemma":[0.9997403,0.00002204977,0.0000260522,0.00008245908,0.00004057832,0.00008853466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005473557,0.00004820242,0.006148836,0.007195105,0.0001832102,0.00001807449,0.003235644,0.026952,0.8332621,0.00585237,0.01402251,0.1030272],"study_design_scores_gemma":[0.0006944596,0.00001307409,0.0001420914,0.00008940265,0.00001102001,0.00002407884,0.0002735716,0.9095589,0.07934645,0.00002337226,0.009637522,0.0001860415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01675614,0.0003392209,0.9808679,0.00001159443,0.0004015999,0.0002435624,0.000003909953,0.0004166116,0.0009594398],"genre_scores_gemma":[0.9586082,0.000001635014,0.04093106,0.00001140982,0.0001500249,0.00000756119,0.000009982689,0.00003528006,0.0002448543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.941852,"threshold_uncertainty_score":0.4033601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752817507448494,"score_gpt":0.2422147625510804,"score_spread":0.2246865874765955,"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."}}