{"id":"W1601379362","doi":"10.1109/acssc.1994.471637","title":"Speech coding for wireless communication","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"GSM; Computer science; Wireless; Speech coding; Quality of service; Wireline; Coding (social sciences); Computer network; Telecommunications; Voice activity detection; Transmission (telecommunications); Speech recognition; Speech processing; Mathematics","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":[0.0005822096,0.0009044235,0.000601957,0.001029431,0.0005099219,0.001473707,0.000747246,0.001413762,0.03302066],"category_scores_gemma":[0.00186378,0.0001754236,0.0002535221,0.001518523,0.0006875579,0.00119807,0.001156769,0.001748165,0.02277524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005846245,"about_ca_system_score_gemma":0.000851476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282757,"about_ca_topic_score_gemma":0.001134721,"domain_scores_codex":[0.9992343,0.0002102116,0.00006001637,0.00009094036,0.0003488764,0.00005562249],"domain_scores_gemma":[0.9993079,0.0002137787,0.00005312169,0.000112675,0.0002826595,0.00002985076],"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":[0.0001038777,0.00004004271,0.0001747023,0.001419163,0.00003519694,0.0002942794,0.0001963109,0.003289697,0.01941042,0.1788076,0.1748923,0.6213363],"study_design_scores_gemma":[0.00002822015,0.00009795982,0.0005926733,0.0005807299,0.00001846344,0.0007002915,0.00008577009,0.01414774,0.006445426,0.07154496,0.90571,0.0000479192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006146985,0.1130674,0.6319134,0.006909561,0.01419859,0.0008287888,0.003613318,0.004554071,0.2187678],"genre_scores_gemma":[0.1111581,0.122472,0.4114513,0.006736602,0.006899533,0.001904883,0.01189142,0.001429813,0.3260564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03302066,"threshold_uncertainty_score":0.110465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892533767979725,"score_gpt":0.2981832456261783,"score_spread":0.249257907946381,"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."}}