{"id":"W2608462358","doi":"10.1090/amsip/025/14","title":"Wavelet decomposition under translate","year":2002,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wavelet; Decomposition; Computer science; Artificial intelligence; Pattern recognition (psychology); Chemistry","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":[0.0004568447,0.001008427,0.0007015644,0.00145755,0.0006466173,0.002521614,0.0003908121,0.0005154796,0.01647269],"category_scores_gemma":[0.001026626,0.0002922016,0.0007208727,0.001122182,0.001080927,0.00225113,0.001405222,0.002284802,0.009691817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004435333,"about_ca_system_score_gemma":0.0002735234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002466838,"about_ca_topic_score_gemma":0.0002748443,"domain_scores_codex":[0.9996848,0.00004117592,0.00002258498,0.0001033721,0.0001101859,0.00003782904],"domain_scores_gemma":[0.9997347,0.00005047257,0.00003073852,0.00006357827,0.00008147581,0.00003893317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008835395,0.00002307342,0.0000812152,0.00007942121,0.0000112922,0.0001735817,0.0002570711,0.0003968705,0.01122234,0.8543388,0.01246436,0.1208636],"study_design_scores_gemma":[0.00002685382,0.0001723036,0.00115876,0.00007564508,0.00004807047,0.001583682,0.0003780976,0.01458806,0.02574646,0.7376239,0.2185595,0.00003867543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04169283,0.003828803,0.6236334,0.002272186,0.002858703,0.00008527211,0.0007651696,0.00109444,0.3237692],"genre_scores_gemma":[0.307345,0.01114442,0.2284436,0.001427578,0.004815546,0.0001996131,0.001855302,0.003661591,0.4411074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01647269,"threshold_uncertainty_score":0.05510664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0846036680256949,"score_gpt":0.3726119985169829,"score_spread":0.288008330491288,"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."}}