{"id":"W1524458764","doi":"10.1109/acssc.2002.1197320","title":"An algebraic integer based encoding scheme for implementing Daubechies discrete wavelet transforms","year":2003,"lang":"en","type":"article","venue":"","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"CMC Microsystems","keywords":"Encoding (memory); Scheme (mathematics); Integer (computer science); Algebraic number; Computer science; Wavelet; Algorithm; Discrete wavelet transform; Theoretical computer science; Mathematics; Wavelet transform; Arithmetic; Discrete mathematics; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001783437,0.0001832984,0.000195785,0.0001411601,0.00032353,0.0003854797,0.0005676608,0.00005192679,0.00009563973],"category_scores_gemma":[0.0001048054,0.0001408752,0.0001342188,0.000298985,0.00003191118,0.001024441,0.00003015773,0.0001127024,0.000006249224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002541776,"about_ca_system_score_gemma":0.00008576097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001825076,"about_ca_topic_score_gemma":0.00001424045,"domain_scores_codex":[0.9983596,0.000136463,0.0003069268,0.0004295951,0.0002094508,0.0005579346],"domain_scores_gemma":[0.9990948,0.0002164315,0.00005721735,0.0004409902,0.00008247292,0.0001080926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000302708,0.00009701101,0.0003613765,0.000092997,0.00004495409,0.00001330127,0.001804974,0.00003705656,0.2477127,0.6367863,0.0006062229,0.1124128],"study_design_scores_gemma":[0.001698148,0.00029204,0.00008261893,0.00003581324,0.00001536502,0.00001364813,0.0003020134,0.2456916,0.7086467,0.02678587,0.01588822,0.0005478882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007560254,0.0000264963,0.9840949,0.0003369339,0.0001666635,0.0002534091,0.000002859838,0.0001868877,0.007371551],"genre_scores_gemma":[0.3914837,9.486523e-7,0.6075414,0.0006390545,0.00002876686,0.00002254213,0.000005356982,0.00001215067,0.0002660719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6100004,"threshold_uncertainty_score":0.5744723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320990068463005,"score_gpt":0.3188316519031809,"score_spread":0.2856217512185509,"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."}}