{"id":"W2104743544","doi":"10.1109/icme.2008.4607540","title":"Zerotree data structure for 4D wavelet coefficient coding","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Wavelet; Coding (social sciences); Wavelet transform; Computer science; Artificial intelligence; Pattern recognition (psychology); Algorithm; Data structure; Mathematics; Statistics","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":[0.0003706861,0.0004827211,0.0004343271,0.001696502,0.0004372715,0.0007556641,0.0009253218,0.0006048523,0.003258417],"category_scores_gemma":[0.001643186,0.0002471506,0.0003512301,0.002012641,0.0005135109,0.001368853,0.0009574376,0.0008374478,0.001260435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006224191,"about_ca_system_score_gemma":0.001013868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675498,"about_ca_topic_score_gemma":0.002389526,"domain_scores_codex":[0.9996338,0.00006115325,0.00003648101,0.00003274328,0.0002039363,0.00003189224],"domain_scores_gemma":[0.9991071,0.0001733429,0.00008363053,0.0002021811,0.0004010906,0.00003264355],"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":[0.0003162142,0.00008058841,0.0006720241,0.0003635912,0.0000393646,0.0002319595,0.000204455,0.02687383,0.1739186,0.1239216,0.0103705,0.6630073],"study_design_scores_gemma":[0.0001517183,0.0007490903,0.001234568,0.0002079465,0.00007240611,0.0009907088,0.0001912004,0.6006114,0.2140114,0.06694556,0.1146475,0.0001864146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01348438,0.0005581466,0.9827439,0.0001427943,0.0001395786,0.00009459799,0.0003525367,0.0005670934,0.001917002],"genre_scores_gemma":[0.1195249,0.0007311706,0.8729417,0.0002213817,0.0001078729,0.0003608631,0.001922553,0.0001393455,0.004050327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003258417,"threshold_uncertainty_score":0.01090044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08540027767589527,"score_gpt":0.3195722079190542,"score_spread":0.234171930243159,"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."}}