{"id":"W2103271067","doi":"10.1109/icc.2012.6364845","title":"Channel quality-based AMC and smart scheduling scheme for SVC video transmission in LTE MBSFN networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multimedia Broadcast Multicast Service; Computer science; Single-frequency network; Computer network; Multicast; Unicast; 3rd Generation Partnership Project 2; Cellular network; UMTS frequency bands; Quality of service; Transmission (telecommunications); Telecommunications; Telecommunications link","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":[0.000451139,0.000405719,0.0003744593,0.000405706,0.0005539934,0.000331643,0.000499601,0.0002747377,0.0005736246],"category_scores_gemma":[0.001025075,0.00009959754,0.000173666,0.0003174912,0.0003998741,0.000344277,0.000320338,0.0003640474,0.00011419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008206746,"about_ca_system_score_gemma":0.0007788627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007440156,"about_ca_topic_score_gemma":0.01027497,"domain_scores_codex":[0.9996142,0.00008015794,0.0000207266,0.00006148596,0.0001419202,0.00008142801],"domain_scores_gemma":[0.9994494,0.0001161908,0.00008669795,0.00004850364,0.0002515761,0.00004754934],"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":[0.0008621829,0.0002428636,0.003431663,0.0001831494,0.00006428848,0.0005227817,0.0003480059,0.336921,0.3024997,0.0218286,0.004792747,0.328303],"study_design_scores_gemma":[0.00002246816,0.0002071783,0.000908739,0.00001015272,0.00002243679,0.0001717956,0.0000407255,0.9784833,0.01721796,0.001243912,0.001644304,0.00002702321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2048173,0.0009537251,0.7864352,0.0002982568,0.000289753,0.0001768108,0.0001041989,0.0006281394,0.006296526],"genre_scores_gemma":[0.9636362,0.0001708593,0.0353408,0.00006994507,0.00005412089,0.00003194818,0.00004636005,0.00001009708,0.0006397254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007440156,"threshold_uncertainty_score":0.01479369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04977118299402614,"score_gpt":0.3027712255958926,"score_spread":0.2530000426018665,"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."}}