{"id":"W1751373636","doi":"10.1023/a:1022160416128","title":"Numerical Schemes of Shock Filter Models for Image Enhancement and Restoration","year":2003,"lang":"en","type":"article","venue":"Journal of Mathematical Imaging and Vision","topic":"Mathematical and Theoretical Analysis","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Discretization; Mathematics; Uniqueness; Partial differential equation; Hyperbolic partial differential equation; Applied mathematics; Filter (signal processing); Shock (circulatory); Stability (learning theory); Differential equation; Mathematical analysis; Algorithm; Computer science","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":[0.0005422827,0.0004834369,0.0005640948,0.0004090918,0.0003442303,0.0009057149,0.0009853824,0.00144836,0.002719523],"category_scores_gemma":[0.001739705,0.0003249482,0.0005962785,0.0004107612,0.0006512987,0.001100981,0.0009614881,0.001230432,0.0004723114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007341079,"about_ca_system_score_gemma":0.0005646451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919462,"about_ca_topic_score_gemma":0.002224221,"domain_scores_codex":[0.999871,0.00004438292,0.000008442153,0.00001301009,0.0000484399,0.00001470147],"domain_scores_gemma":[0.9996359,0.000146314,0.00004464691,0.00004416759,0.0001002391,0.00002866485],"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":[0.0001295595,0.00006603202,0.0003514935,0.00008860659,0.00003479458,0.0000760488,0.0001532067,0.6905279,0.01073991,0.2496642,0.001551685,0.04661663],"study_design_scores_gemma":[0.000005372621,0.00001018911,0.00002013716,0.000003261209,0.000002862322,0.00001129417,0.000005519555,0.9920672,0.0008032268,0.006419013,0.0006472307,0.000004623139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01059992,0.0002449548,0.9864334,0.0001500729,0.00007915736,0.00003122307,0.00002066056,0.0001048459,0.002335754],"genre_scores_gemma":[0.5202668,0.001028224,0.4544819,0.0001692852,0.0001008864,0.0001943219,0.0001052879,0.0001848268,0.02346841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002919462,"threshold_uncertainty_score":0.009097695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799238843522759,"score_gpt":0.3435834525970708,"score_spread":0.3155910641618432,"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."}}