{"id":"W1575535846","doi":"10.1109/icassp.1986.1168612","title":"Reducing signal delay in multipulse coding at 16kb/s","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Coding (social sciences); SIGNAL (programming language); Degradation (telecommunications); Electronic engineering; Signal processing; Digital signal processing; Algorithm; Telecommunications; Mathematics; Computer hardware; 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":[0.000217697,0.0001161152,0.0001251124,0.0001467015,0.0000865569,0.00005222536,0.0008030525,0.00004858043,0.0001626313],"category_scores_gemma":[0.00003245672,0.0001027525,0.00002904812,0.0002582916,0.00002281999,0.001072425,0.0008803524,0.0001403591,0.0001012217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627067,"about_ca_system_score_gemma":0.00001868491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004237198,"about_ca_topic_score_gemma":0.00006339168,"domain_scores_codex":[0.9988168,0.00004266859,0.0002576649,0.0004074444,0.0001942635,0.0002810943],"domain_scores_gemma":[0.9991595,0.000115302,0.0000597127,0.000558755,0.00002749613,0.00007924261],"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":[0.00001982006,0.0001678785,0.001201952,0.00001190075,0.000005499546,0.0000858461,0.0008927787,0.007230562,0.1719705,0.03130689,0.02117206,0.7659343],"study_design_scores_gemma":[0.0003473404,0.00002873553,0.0004204009,0.00007352573,8.240397e-7,0.00004038812,0.00001107121,0.5408676,0.429553,0.001117434,0.02725879,0.0002808632],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01482668,0.00006606631,0.9796309,0.0005235866,0.00005393367,0.000124659,0.000001418761,0.0005383641,0.004234338],"genre_scores_gemma":[0.5187443,0.00001203445,0.4804093,0.0002854472,0.00002973788,0.000011363,0.000001679147,0.000005404092,0.000500713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7656535,"threshold_uncertainty_score":0.4190126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145320620840846,"score_gpt":0.2877197850274321,"score_spread":0.2662665788190237,"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."}}