{"id":"W2088799819","doi":"10.1109/aero.2010.5446687","title":"Multitarget track before detect with MIMO radars","year":2010,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"MIMO; Computer science; Radar tracker; Bistatic radar; Multistatic radar; Low probability of intercept radar; Radar; Radar engineering details; Algorithm; Passive radar; Electronic engineering; Channel (broadcasting); Telecommunications; Engineering; Radar imaging","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":[0.0009508595,0.0006529043,0.0006509328,0.0004350052,0.0003777099,0.0008276346,0.0006825592,0.000962931,0.001406405],"category_scores_gemma":[0.001878948,0.0003803959,0.0005598144,0.0005644428,0.0003250386,0.001114772,0.0008061308,0.0008771284,0.0008249466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003671513,"about_ca_system_score_gemma":0.0004526997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007049916,"about_ca_topic_score_gemma":0.001238265,"domain_scores_codex":[0.999084,0.0002253178,0.00003777281,0.0001673061,0.0004204751,0.00006523147],"domain_scores_gemma":[0.9990857,0.0003864381,0.0001507551,0.0001681763,0.00016766,0.00004127474],"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":[0.0005791953,0.0001505476,0.002397857,0.0002794493,0.0001777274,0.0002860555,0.0001710432,0.522053,0.0636132,0.02649049,0.00237224,0.3814291],"study_design_scores_gemma":[0.0000547867,0.0002882548,0.0005264662,0.00001829301,0.00003308773,0.0003234822,0.00001714596,0.9668543,0.02344448,0.004613155,0.003791883,0.00003456603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0112434,0.0004629485,0.9856899,0.00007865336,0.00006909914,0.00003014383,0.00003290613,0.0005426146,0.001850377],"genre_scores_gemma":[0.3957903,0.0005886221,0.5984573,0.0002507747,0.0001131419,0.00009685031,0.0001196869,0.00005300884,0.004530223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001406405,"threshold_uncertainty_score":0.005028665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003777576579030527,"score_gpt":0.1804655911004694,"score_spread":0.1766880145214389,"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."}}