{"id":"W2025451698","doi":"10.1109/bsc.2010.5472938","title":"A hybrid signalling scheme for cellular mobile networks over flat fading","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Base station; Computer science; Fading; Cellular network; Transmission (telecommunications); MIMO; Transmitter; Channel (broadcasting); Imperfect; Algorithm; Mobile station; Computer network; Telecommunications","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":[0.0001033799,0.000134927,0.0001387421,0.00004817386,0.00005821021,0.00003501954,0.00008872899,0.00007781233,0.0001375497],"category_scores_gemma":[0.00001427848,0.0001397975,0.00005707365,0.00006806009,0.000009159763,0.0002046012,0.00001530654,0.0001648554,0.00001375182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002895588,"about_ca_system_score_gemma":0.000004522477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003549218,"about_ca_topic_score_gemma":0.000004355534,"domain_scores_codex":[0.9993235,0.000003368755,0.0001978561,0.0001584529,0.00005668511,0.0002601607],"domain_scores_gemma":[0.9996422,0.00006282334,0.00002728856,0.0001662249,0.00003997986,0.00006147238],"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":[0.000001594473,0.000001950783,0.00002455196,0.00002473115,0.00001017869,7.868634e-7,0.00001547334,0.7572165,0.2417137,0.0003057694,0.0002948439,0.0003898931],"study_design_scores_gemma":[0.0002106609,0.000009655395,5.82621e-7,0.00001417978,0.000005757109,0.000002149858,0.00001110117,0.8993904,0.09621333,0.00008144611,0.003896928,0.0001638399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08651622,0.0001495826,0.9106161,0.00000146315,0.0006883759,0.0004352207,0.000002665965,0.0004615502,0.001128801],"genre_scores_gemma":[0.9169639,0.000008362544,0.08199977,0.00001125929,0.0003826279,0.0001369479,0.00002487299,0.00006668802,0.0004055593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8304477,"threshold_uncertainty_score":0.5700777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005986594269099394,"score_gpt":0.208232786678277,"score_spread":0.2022461924091776,"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."}}