{"id":"W1488771865","doi":"10.1007/0-387-30038-4_24","title":"Color Image Filtering and Enhancement","year":2006,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Multimedia","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Image (mathematics); Image enhancement","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003766544,0.0003748052,0.0005541343,0.0002023249,0.00006606996,0.00006886759,0.0006219097,0.0002295634,0.0001667061],"category_scores_gemma":[0.00006744329,0.000365169,0.000123414,0.00004288137,0.0001748465,0.0002729496,0.0004467727,0.0002939535,0.00009074675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004049471,"about_ca_system_score_gemma":0.00009368266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003638657,"about_ca_topic_score_gemma":0.000004053849,"domain_scores_codex":[0.9981031,0.00003825908,0.0005537301,0.0005735275,0.0004312535,0.0003001439],"domain_scores_gemma":[0.9985026,0.0003335501,0.0003386184,0.0005817225,0.0001267577,0.0001167845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007139123,0.0001432724,0.0000209897,0.0005591761,0.0001866916,0.0005685557,0.002090331,0.00001403916,0.0288642,0.01464818,0.07113136,0.8817018],"study_design_scores_gemma":[0.002447071,0.0004557949,0.0003401879,0.0007208394,0.0001484142,0.00004924456,0.000007103583,0.01191022,0.0214785,0.0151522,0.9455801,0.001710335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0001034807,0.001149875,0.2830302,0.00007984944,0.0007223823,0.0002603234,0.00001727388,0.00007233735,0.7145643],"genre_scores_gemma":[0.0001162294,0.001071342,0.5608292,0.00007446157,0.0003339811,0.00001336196,0.00002226321,0.00004110388,0.437498],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8799915,"threshold_uncertainty_score":0.99988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253205085293564,"score_gpt":0.2490534946974976,"score_spread":0.2365214438445619,"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."}}