{"id":"W2738587533","doi":"10.1109/bmsb.2017.7986163","title":"Coverage analysis on improved LTE eMBMS with layered-division-multiplexing and longer cyclic prefix","year":2017,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Communications Research Centre Canada","funders":"","keywords":"Multimedia Broadcast Multicast Service; Cyclic prefix; Computer science; Orthogonal frequency-division multiplexing; Computer network; Multicast; Broadcasting (networking); Division (mathematics); Software deployment; Multiplexing; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007479273,0.0001347137,0.0001811691,0.0001453507,0.0003111972,0.0002088719,0.0003699136,0.00007177516,0.00002410805],"category_scores_gemma":[0.00006746647,0.0000979801,0.00004070353,0.0001262698,0.00006499504,0.0001589752,0.0001564896,0.0001665239,0.00000733225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002037885,"about_ca_system_score_gemma":0.000003401793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007942315,"about_ca_topic_score_gemma":0.000253444,"domain_scores_codex":[0.9994582,0.00000692746,0.000121171,0.0001721543,0.00007016856,0.0001713714],"domain_scores_gemma":[0.998688,0.00007240463,0.0000534932,0.001128683,0.00002282567,0.00003459045],"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":[0.00007592352,0.0001957365,0.1818169,0.0001125893,0.002467884,0.00001930507,0.0005153446,0.2310565,0.0199022,0.001583829,0.0006147907,0.561639],"study_design_scores_gemma":[0.0007648421,0.0001626426,0.3222308,0.00007155231,0.0001197039,0.000004088804,0.0001305416,0.6660117,0.008348448,0.0002370903,0.00139618,0.000522459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586257,0.000105072,0.03241949,0.0001641236,0.00002473038,0.0001095086,0.00001018544,0.0008023446,0.007738876],"genre_scores_gemma":[0.9884908,0.0001160332,0.01110431,0.00001266468,0.000008303654,0.00001469079,0.000005750118,0.0000178756,0.0002295266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5611165,"threshold_uncertainty_score":0.3995512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270480977110341,"score_gpt":0.2352053653925703,"score_spread":0.2225005556214668,"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."}}