{"id":"W4396885498","doi":"10.1007/978-3-031-54908-3_10","title":"Some Wavelet Transforms","year":2024,"lang":"en","type":"book-chapter","venue":"Compact textbooks in mathematics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Computer science; Wavelet; Artificial intelligence","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008313216,0.0005923659,0.0008882088,0.0005610734,0.00007786004,0.0004338739,0.001536259,0.0003776514,0.0001037073],"category_scores_gemma":[0.00002811045,0.0004921179,0.0003580127,0.00008072134,0.0001205063,0.0003156707,0.0001964954,0.001016138,0.001366257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758082,"about_ca_system_score_gemma":0.0001496901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003300165,"about_ca_topic_score_gemma":0.000002858329,"domain_scores_codex":[0.9975212,0.00002409752,0.0008131507,0.0005797009,0.0005921791,0.0004697224],"domain_scores_gemma":[0.9980678,0.0003709769,0.0001793414,0.00118377,0.00005879335,0.0001393079],"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":[0.000002632263,0.00003130938,9.346271e-8,0.0005269867,0.0000527654,0.0003250025,0.00162962,0.00001062172,0.00008116544,0.9827142,0.002457425,0.01216812],"study_design_scores_gemma":[0.0002677665,0.00005913316,0.000001195269,0.001369669,0.00004049318,0.0001059906,0.000008572506,0.01348564,0.0003621731,0.9367142,0.04702931,0.0005558754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000910437,0.002453091,0.1740551,0.0003032292,0.0007529827,0.0003917402,0.00001472561,0.0003543289,0.8216657],"genre_scores_gemma":[0.0005588436,0.000210507,0.08602617,0.0003146209,0.0003801658,0.000006730573,0.000008077853,0.000143403,0.9123515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09068576,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504400932748448,"score_gpt":0.296160663475374,"score_spread":0.2511166541478895,"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."}}