{"id":"W3046589075","doi":"10.18280/isi.250302","title":"Parameter Estimation in Radar K-Clutter Plus Noise Based on Otsu’s Algorithm","year":2020,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clutter; Radar; Noise (video); Algorithm; Estimation; Computer science; Artificial intelligence; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119221,0.000622012,0.001203471,0.0009276731,0.0003600425,0.0008637893,0.0007963508,0.001051028,0.0006614739],"category_scores_gemma":[0.004535068,0.0003089342,0.0004998956,0.001017695,0.0006445005,0.001416971,0.0006943114,0.0005466166,0.0003008067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003565408,"about_ca_system_score_gemma":0.0007461616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646496,"about_ca_topic_score_gemma":0.001903952,"domain_scores_codex":[0.9991296,0.0002152837,0.00006495905,0.0001969384,0.0003094948,0.00008379577],"domain_scores_gemma":[0.9984676,0.0008874462,0.000199094,0.0001249668,0.000282739,0.00003815579],"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":[0.001134503,0.0001149782,0.003277584,0.0002989653,0.0001238496,0.0002382711,0.000248357,0.2738482,0.04127393,0.01214835,0.0009993936,0.6662936],"study_design_scores_gemma":[0.00001423932,0.00006346877,0.0005409795,0.000009343574,0.00001759344,0.0001094277,0.00001715645,0.9890252,0.007706591,0.002086645,0.0003936156,0.00001580035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02224535,0.0003000364,0.9767716,0.00003293639,0.00001999633,0.00001250749,0.00001716421,0.000264662,0.0003357929],"genre_scores_gemma":[0.3908334,0.0003327194,0.6071531,0.00004637284,0.00005491273,0.0000657104,0.000103086,0.00006166213,0.00134898],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001646496,"threshold_uncertainty_score":0.005919099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452714815270771,"score_gpt":0.217135012315568,"score_spread":0.2026078641628603,"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."}}