{"id":"W924889809","doi":"10.1190/1.1444913","title":"Adaptive filtering of random noise in 2-D geophysical data","year":2001,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Filter (signal processing); Adaptive filter; Speckle noise; Noise (video); Median filter; Computer science; Synthetic aperture radar; Reflection (computer programming); Speckle pattern; Remote sensing; Nonlinear filter; Computer vision; Artificial intelligence; Geology; Acoustics; Filter design; Algorithm; Image processing; Image (mathematics); Physics","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":[0.001242069,0.0005600423,0.0004922764,0.001141452,0.0002284698,0.0005211691,0.0004469495,0.0006700864,0.0006928672],"category_scores_gemma":[0.004100079,0.000225098,0.0005508757,0.001096404,0.0003745454,0.0005682191,0.000495174,0.0005243284,0.0002612048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003123063,"about_ca_system_score_gemma":0.00032168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002984437,"about_ca_topic_score_gemma":0.003507033,"domain_scores_codex":[0.9993155,0.0001731934,0.00004047769,0.0001403019,0.0002820079,0.00004851985],"domain_scores_gemma":[0.9981335,0.001149404,0.0001449956,0.0001845439,0.0003615828,0.00002591538],"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":[0.0008386809,0.0002534493,0.008862517,0.0002136199,0.00020709,0.0003325159,0.0002229554,0.4307399,0.1938144,0.002022896,0.001066753,0.3614252],"study_design_scores_gemma":[0.00002219233,0.0001282395,0.009196845,0.00000963748,0.00002913908,0.00009393265,0.00003136757,0.9571958,0.03143828,0.0008272828,0.0009997768,0.00002758417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2307902,0.0001868497,0.7672818,0.00009699386,0.00006439789,0.00005830717,0.0001907651,0.0006757068,0.00065491],"genre_scores_gemma":[0.6659085,0.0001832439,0.3316824,0.00008066087,0.00004947007,0.0001105308,0.0006322809,0.00009171359,0.00126126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002984437,"threshold_uncertainty_score":0.006568789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317194210272659,"score_gpt":0.2340209001301424,"score_spread":0.2008489580274158,"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."}}