{"id":"W2129946704","doi":"10.1109/icassp.1985.1168057","title":"A new dynamic bit allocation scheme for sub-band coding","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Dynamic range; Quantization (signal processing); High dynamic range; Algorithm; Autocorrelation; Coding (social sciences); Bit field; Electronic engineering; Real-time computing; Mathematics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001050663,0.00008632164,0.00008441341,0.00005702808,0.00007301821,0.00008113097,0.000598069,0.00003751233,0.00002027863],"category_scores_gemma":[0.00003505566,0.00007696152,0.00002993372,0.0001553908,0.00000900926,0.0009433604,0.0001312159,0.00005071747,0.00003037791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005583025,"about_ca_system_score_gemma":0.00004721191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007057192,"about_ca_topic_score_gemma":0.00002036698,"domain_scores_codex":[0.9992645,0.000008487853,0.0001523659,0.0002823974,0.0001210973,0.0001711737],"domain_scores_gemma":[0.9992856,0.00006681724,0.00005701554,0.0004664533,0.00005209835,0.00007198631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000617962,0.00002675656,0.00002194543,0.00001042198,0.000005021933,4.253993e-7,0.00005908285,0.00005783118,0.2160378,0.1317848,0.03821657,0.6137732],"study_design_scores_gemma":[0.0003120264,0.00004096943,0.00009322113,0.00002813523,0.000001701364,0.000004932026,0.000003097521,0.3765441,0.5439853,0.01184729,0.06696018,0.0001790608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005852644,0.0000715789,0.9956724,0.002041352,0.00005730023,0.0002354922,0.000001993999,0.0006411718,0.0006934666],"genre_scores_gemma":[0.1081815,0.00002369927,0.8902156,0.0003832121,0.00004306553,0.00002969325,0.000009016055,0.000007092136,0.001107121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6135942,"threshold_uncertainty_score":0.31384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667792823689533,"score_gpt":0.2988158253297998,"score_spread":0.2821378970929045,"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."}}