{"id":"W1983760178","doi":"10.1016/j.sigpro.2003.06.001","title":"Complex Daubechies wavelets: properties and statistical image modelling","year":2003,"lang":"en","type":"article","venue":"Signal Processing","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavelet; Context (archaeology); Representation (politics); Computer science; Artificial intelligence; Pattern recognition (psychology); Algorithm; Focus (optics); Wavelet transform; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006539292,0.0001810677,0.0002137315,0.00009096348,0.0004280262,0.0007598282,0.0002684514,0.00004804172,0.00002155261],"category_scores_gemma":[0.00006256148,0.0001481491,0.00002545586,0.0002248344,0.0001948271,0.0009211751,0.00008916896,0.000188058,0.00001130168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002038354,"about_ca_system_score_gemma":0.0001213678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001221999,"about_ca_topic_score_gemma":4.184464e-7,"domain_scores_codex":[0.9984755,0.0002131905,0.0002524209,0.0004107979,0.0002846984,0.0003633875],"domain_scores_gemma":[0.9994284,0.0001013086,0.00006738363,0.0001663883,0.0001310084,0.0001055373],"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":[0.00007564782,0.0001739001,0.00008352016,0.0007464673,0.00003865618,0.0002238894,0.005559152,0.002772512,0.2873688,0.09723607,0.0006138337,0.6051075],"study_design_scores_gemma":[0.0004306053,0.00006689433,0.00003860865,0.0001096794,0.00001266746,0.0001197798,0.0001254901,0.927095,0.02563829,0.04476617,0.001256008,0.0003408133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003480975,0.001054175,0.9912965,0.0001536441,0.00003496604,0.00009167191,0.000001282282,0.0001336422,0.003753144],"genre_scores_gemma":[0.514551,0.000006358348,0.4851456,0.0001739924,0.00002127959,0.000003473157,7.324036e-7,0.000009908258,0.00008766304],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9243225,"threshold_uncertainty_score":0.7327041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08077974115554895,"score_gpt":0.2872195236105227,"score_spread":0.2064397824549737,"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."}}