{"id":"W4298391316","doi":"","title":"Accurate and Efficient Filtering using Anisotropic Filter Decomposition","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Decomposition; Filter (signal processing); Computer science; Environmental science; Materials science; Chemistry; Computer vision","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002910499,0.0003479129,0.0003611112,0.0002289117,0.0004402159,0.001648276,0.001416936,0.0002207213,0.00005015286],"category_scores_gemma":[0.0003412051,0.0003615142,0.0001391303,0.0002781256,0.0001405992,0.0003226786,0.003043134,0.0005143887,0.00002887465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119491,"about_ca_system_score_gemma":0.0001436007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006413524,"about_ca_topic_score_gemma":0.00003004796,"domain_scores_codex":[0.9937235,0.004142823,0.0004725546,0.0009084666,0.0003552637,0.0003974309],"domain_scores_gemma":[0.9956917,0.0008099562,0.0004070214,0.001823618,0.001085931,0.0001818381],"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":[0.00004182652,0.001316775,0.000780921,0.001242634,0.0003492529,0.000116086,0.03746213,0.01886263,0.351338,0.1941143,0.001463755,0.3929116],"study_design_scores_gemma":[0.0004663863,5.299106e-7,0.001942086,0.001283448,0.00002915727,0.00004819541,0.00001785862,0.9149373,0.07450866,0.005585262,0.0006967332,0.0004844013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2178907,0.0006000956,0.776598,0.001514805,0.000301187,0.0002761377,0.000008063397,0.000184306,0.002626611],"genre_scores_gemma":[0.4359803,0.0001085124,0.5629696,0.0001184301,0.00002633184,0.00002438024,0.00003737873,0.00002624034,0.0007088508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8960747,"threshold_uncertainty_score":0.9998837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614668042464487,"score_gpt":0.2745105355137485,"score_spread":0.2483638550891037,"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."}}