{"id":"W3025508745","doi":"10.1142/s0219691320500381","title":"Multi-dimensional wavelets for scalable image decomposition: Orbital wavelets","year":2020,"lang":"en","type":"article","venue":"International Journal of Wavelets Multiresolution and Information Processing","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wavelet; Image (mathematics); Dimension (graph theory); Gabor wavelet; Interpretation (philosophy); Multiresolution analysis; Legendre wavelet; Pattern recognition (psychology)","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":[0.0009353635,0.0006620747,0.0006037059,0.0009701941,0.0002547342,0.00128981,0.000616672,0.0008624763,0.002373353],"category_scores_gemma":[0.002299736,0.0002503459,0.0007053726,0.001902792,0.0005228875,0.001314523,0.001008982,0.001921657,0.001187757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941601,"about_ca_system_score_gemma":0.00041197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003557096,"about_ca_topic_score_gemma":0.0003997346,"domain_scores_codex":[0.9995714,0.0001066143,0.0000275904,0.00007199421,0.0001799937,0.00004236255],"domain_scores_gemma":[0.9994276,0.0001749207,0.00005251486,0.0001463602,0.0001554886,0.00004307586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002511125,0.00008751374,0.000557354,0.0005684782,0.0001196673,0.0003031714,0.000192364,0.06108901,0.1080307,0.3430137,0.01659684,0.4691901],"study_design_scores_gemma":[0.00002848372,0.00008562922,0.0005796922,0.00008053877,0.00003601027,0.0003432778,0.00006445732,0.8283513,0.02007365,0.1198185,0.03049734,0.00004115213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003154701,0.0008992711,0.9942939,0.0002003789,0.0001571575,0.00001928475,0.00008690117,0.0001914743,0.0009968834],"genre_scores_gemma":[0.1247863,0.004455743,0.8649583,0.0002542605,0.0005084703,0.0001945473,0.000632775,0.0003085724,0.003901006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002373353,"threshold_uncertainty_score":0.007939696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452131631394376,"score_gpt":0.3103949861284335,"score_spread":0.2858736698144897,"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."}}