{"id":"W4251570802","doi":"10.1002/cta.467","title":"CFAR detection of weak target in clutter using chaos synchronization","year":2007,"lang":"en","type":"article","venue":"International Journal of Circuit Theory and Applications","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Clutter; Constant false alarm rate; Computer science; Synchronization (alternating current); Detection theory; Chaotic; SIGNAL (programming language); Algorithm; Noise (video); Radar; CHAOS (operating system); Autoregressive model; Detector; Artificial intelligence; Pattern recognition (psychology); Mathematics; Telecommunications; Statistics; Image (mathematics)","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":[0.0006899557,0.0003835167,0.0003818632,0.0006570645,0.0001628795,0.0003529263,0.0002946848,0.0003701813,0.0004095109],"category_scores_gemma":[0.002456997,0.0001738409,0.0002212969,0.000318611,0.0003786915,0.000448478,0.0005602014,0.000344964,0.0001620389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491289,"about_ca_system_score_gemma":0.0002766077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003150474,"about_ca_topic_score_gemma":0.0002382174,"domain_scores_codex":[0.9996225,0.0001089624,0.00001947221,0.00005750254,0.0001604452,0.00003121172],"domain_scores_gemma":[0.999041,0.0004638575,0.0001789175,0.00006772819,0.000203224,0.0000452925],"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":[0.0009500422,0.0001138026,0.01144703,0.0002386041,0.0001446801,0.0005511863,0.0002839839,0.1084065,0.5723241,0.02227238,0.001222374,0.2820453],"study_design_scores_gemma":[0.00005101121,0.0003185408,0.004293487,0.00001586172,0.00004922234,0.0005522257,0.00002398137,0.8910772,0.09836116,0.003758359,0.001453365,0.00004552504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2338629,0.000339209,0.7632892,0.0001420913,0.0000711336,0.00002856449,0.0000249066,0.000420097,0.001821836],"genre_scores_gemma":[0.9256096,0.0001293236,0.07341195,0.00004968038,0.0000343554,0.00001480877,0.00002657612,0.0000170241,0.0007066964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006899557,"threshold_uncertainty_score":0.003648877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007167366019645717,"score_gpt":0.2561195404843922,"score_spread":0.2489521744647465,"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."}}