{"id":"W2313748472","doi":"10.1142/9789812704337_0093","title":"ENTROPY BASED ADAPTIVE MEDIAN FILTERING","year":2003,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Entropy (arrow of time); Artificial intelligence; Mathematics; Algorithm; 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":[0.001025454,0.0006823344,0.001066465,0.0008202646,0.0005580551,0.00104761,0.0008762635,0.0009862817,0.003185245],"category_scores_gemma":[0.00274833,0.0004225609,0.0007874285,0.0008480654,0.0005542482,0.001632284,0.001434451,0.0009342608,0.0007482793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000698426,"about_ca_system_score_gemma":0.0006508993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617035,"about_ca_topic_score_gemma":0.002741101,"domain_scores_codex":[0.9992447,0.0001207118,0.00005347408,0.0001631528,0.0003301262,0.00008796119],"domain_scores_gemma":[0.9989116,0.0005687469,0.0000635875,0.0001514071,0.0002622313,0.00004240728],"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":[0.001702007,0.0001725483,0.001686552,0.0001954876,0.0002021149,0.0001271638,0.0001381108,0.1399957,0.08537734,0.02671064,0.002644051,0.7410483],"study_design_scores_gemma":[0.00003210313,0.00008653713,0.001906013,0.00001649316,0.00006172703,0.0001237681,0.0000207698,0.9561785,0.02816816,0.01103856,0.002332277,0.00003497747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01421285,0.000292813,0.9838569,0.00009743587,0.0000974605,0.00001385394,0.00004222767,0.0003102553,0.0010762],"genre_scores_gemma":[0.4146203,0.0006235093,0.5743291,0.0002236229,0.0003356776,0.00008809263,0.0004704414,0.0001996784,0.009109514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003185245,"threshold_uncertainty_score":0.0106557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605234152938795,"score_gpt":0.2788715626038724,"score_spread":0.2183481473099929,"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."}}