{"id":"W2040901912","doi":"10.1121/1.1815244","title":"Backward compatible wideband voice over narrowband low-resolution media","year":2004,"lang":"en","type":"article","venue":"Acoustics Research Letters Online","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences","funders":"","keywords":"Narrowband; Wideband; Wideband audio; Computer science; Decoding methods; Scheme (mathematics); Channel (broadcasting); Electronic engineering; Telecommunications; Digital audio; Speech coding; Engineering; Audio signal","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":[0.000311537,0.0002788613,0.0003392704,0.0003474067,0.0003154264,0.0005097419,0.0005632301,0.0004217246,0.002772243],"category_scores_gemma":[0.0006831917,0.0001817237,0.0001375544,0.0002338971,0.0003051871,0.001396873,0.0008626123,0.0005523654,0.0009466129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604667,"about_ca_system_score_gemma":0.0001240538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000145141,"about_ca_topic_score_gemma":0.0001957232,"domain_scores_codex":[0.9997591,0.0000366838,0.00001745821,0.00003877194,0.0001217077,0.00002637406],"domain_scores_gemma":[0.9995818,0.0001263492,0.00006062878,0.0001120386,0.00009634633,0.00002283529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007346648,0.00005062616,0.0004758372,0.0002235086,0.00001430712,0.0003211272,0.0002987008,0.00209715,0.8156072,0.01927413,0.0008338613,0.1600688],"study_design_scores_gemma":[0.000103232,0.0005612978,0.0007762451,0.0000851814,0.00005627608,0.001544586,0.0001308535,0.02804508,0.9205416,0.006068567,0.04201865,0.00006838809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3263812,0.003470485,0.647315,0.0004961736,0.0003053318,0.0001270206,0.0002856738,0.001621867,0.01999721],"genre_scores_gemma":[0.782012,0.001411631,0.1868198,0.000302655,0.0002635341,0.00008149089,0.0003757729,0.0001490872,0.02858406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002772243,"threshold_uncertainty_score":0.009274065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04983186610251448,"score_gpt":0.362550627869294,"score_spread":0.3127187617667795,"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."}}