{"id":"W4252698925","doi":"10.1002/0471219282.eot299","title":"Waveform Coding","year":2003,"lang":"en","type":"other","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Waveform; Computer science; Pulse-code modulation; Coding (social sciences); Vector quantization; Quantization (signal processing); Electronic engineering; Delta modulation; Analog transmission; Sub-band coding; Analog signal; Algorithm; Speech recognition; Pulse-amplitude modulation; Speech coding; Mathematics; Transmission (telecommunications); Telecommunications; Engineering; Pulse (music)","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":[0.0004775925,0.0007107957,0.00045038,0.001618031,0.0005797225,0.002216333,0.001157237,0.0009579815,0.03811929],"category_scores_gemma":[0.0029395,0.0002020801,0.0004018249,0.002283604,0.0006965711,0.00179169,0.001525778,0.001271448,0.01591858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006014001,"about_ca_system_score_gemma":0.0009234269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141056,"about_ca_topic_score_gemma":0.0008342158,"domain_scores_codex":[0.9992464,0.0001031834,0.00005419239,0.0001111214,0.0004083841,0.000076811],"domain_scores_gemma":[0.9987581,0.000248612,0.00007905951,0.0003011358,0.0005584214,0.0000547835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002006686,0.0000326167,0.0002628047,0.0003089906,0.00001907367,0.0003039093,0.0001360776,0.006441696,0.01381612,0.3957732,0.06246869,0.5202361],"study_design_scores_gemma":[0.00007984998,0.0001225203,0.0004275348,0.0003615339,0.00003370659,0.001211819,0.0001185193,0.06769068,0.02645505,0.2299394,0.6734941,0.00006533831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005639822,0.00328879,0.8150449,0.0014196,0.001728923,0.0002495179,0.00211826,0.0029736,0.1675365],"genre_scores_gemma":[0.2241378,0.00974002,0.4854926,0.00226292,0.001954656,0.000631878,0.01282259,0.001418208,0.2615393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03811929,"threshold_uncertainty_score":0.1275217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477899216740941,"score_gpt":0.2696199418546563,"score_spread":0.2548409496872469,"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."}}