{"id":"W2102325454","doi":"10.1109/acssc.2002.1196995","title":"Turbo-coded transmission of smoothed H.263 video for the cdma2000 downlink","year":2003,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Smoothing; Real-time computing; Telecommunications link; CDMA2000; Decoding methods; Transmission (telecommunications); Bit error rate; Uncompressed video; Computer network; Algorithm; Computer hardware; Video tracking; Video processing; Telecommunications; Code division multiple access","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":[0.0007413303,0.0002700754,0.0002496197,0.0002660197,0.0002695118,0.0003109029,0.0001988806,0.0003496165,0.00070142],"category_scores_gemma":[0.002532879,0.0001020277,0.000137297,0.0003097015,0.0003173593,0.0002305832,0.0001447936,0.0002320583,0.0001373222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005516339,"about_ca_system_score_gemma":0.00068423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006125559,"about_ca_topic_score_gemma":0.006243863,"domain_scores_codex":[0.9997855,0.00007186947,0.000008770135,0.00001147208,0.00009047964,0.00003189292],"domain_scores_gemma":[0.9988924,0.0005814386,0.00009558184,0.00005726786,0.0003247519,0.00004860298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00219552,0.0002358149,0.005517406,0.0002473587,0.00008177228,0.0006372794,0.0001940939,0.7375207,0.1808219,0.004173498,0.001106062,0.06726867],"study_design_scores_gemma":[0.00004962648,0.0007719888,0.00295068,0.00001354023,0.0000416883,0.000151145,0.00004761726,0.9140523,0.08072723,0.0005477779,0.0006153414,0.00003104305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9413991,0.0003626104,0.05532165,0.0000901706,0.00002360344,0.00004697969,0.00006829236,0.0002156738,0.00247195],"genre_scores_gemma":[0.9852734,0.0001979092,0.01375121,0.00001567217,0.000006450247,0.00001204254,0.00004966825,0.000009620157,0.0006839709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006125559,"threshold_uncertainty_score":0.01217985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261289136535694,"score_gpt":0.2520849909004633,"score_spread":0.2294720995351064,"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."}}