{"id":"W1940141136","doi":"10.1109/radar.1995.522628","title":"High resolution radar clutter classification","year":2002,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"AUG Signals (Canada)","funders":"","keywords":"Clutter; Probability density function; Radar; Noise (video); Computer science; Constant false alarm rate; Resolution (logic); Pattern recognition (psychology); Artificial intelligence; Detector; Remote sensing; Mathematics; Statistics; Geology; Telecommunications; 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":[0.001476826,0.0007209304,0.001036846,0.001951745,0.0004640215,0.001532067,0.000806026,0.001291467,0.002356627],"category_scores_gemma":[0.003296457,0.0002032463,0.0006069948,0.001380382,0.0004476989,0.001204363,0.0008482707,0.0008300475,0.002821964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003865214,"about_ca_system_score_gemma":0.0005051387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009890741,"about_ca_topic_score_gemma":0.0007917318,"domain_scores_codex":[0.998767,0.0001841727,0.0000670713,0.0002131493,0.000548763,0.0002199177],"domain_scores_gemma":[0.9981655,0.0004561245,0.0002157026,0.0004969871,0.0005744796,0.00009110267],"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":[0.0004697316,0.0002597112,0.008590215,0.0002136024,0.00006001868,0.0003462282,0.00008650681,0.07769659,0.09590483,0.01014123,0.006504186,0.799727],"study_design_scores_gemma":[0.00003336916,0.0001890214,0.02208917,0.00004695835,0.0000591155,0.001170411,0.00006874333,0.8588929,0.09415274,0.01373727,0.009464283,0.00009594278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08959579,0.0007990784,0.9022642,0.000201443,0.00009287271,0.0001334717,0.0005230259,0.001627492,0.004762625],"genre_scores_gemma":[0.6487312,0.0009314425,0.339251,0.0002628251,0.0002000446,0.00009571087,0.00206275,0.0001705853,0.008294453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002356627,"threshold_uncertainty_score":0.007883668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442959463933363,"score_gpt":0.1943773560760442,"score_spread":0.1699477614367106,"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."}}