{"id":"W2098735675","doi":"10.1109/twc.2009.081680","title":"Average BER analysis for binary signallings in decode-and-forward dissimilar cooperative diversity networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Relay; Phase-shift keying; Binary number; Fading; Bit error rate; Cooperative diversity; Expression (computer science); Computer science; Relay channel; Algorithm; Frequency-shift keying; Diversity combining; Telecommunications; Mathematics; Linear network coding; Topology (electrical circuits); Decoding methods; Computer network; Channel (broadcasting); Arithmetic; Combinatorics; Physics","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004571584,0.0002330235,0.0003684496,0.0004777732,0.001861868,0.0001584766,0.001970728,0.0001164914,0.00001813453],"category_scores_gemma":[0.000008870146,0.0002455046,0.0002068715,0.00195966,0.0001429008,0.0005443929,0.00008244433,0.0005186727,0.000003347217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124134,"about_ca_system_score_gemma":0.00004917381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002558042,"about_ca_topic_score_gemma":0.0009367822,"domain_scores_codex":[0.9983469,0.0003585211,0.0004045656,0.0004228105,0.0001661828,0.000301057],"domain_scores_gemma":[0.9968843,0.0007525782,0.0001145056,0.001888628,0.0002216047,0.0001383198],"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":[0.00007305918,0.00113304,0.000834832,0.000006599391,0.0004192636,0.000002685494,0.004892926,0.8353249,0.0003898474,0.026915,0.000140714,0.1298671],"study_design_scores_gemma":[0.0005832287,0.0001332975,0.004391532,0.00004026082,0.00009540604,0.000001325331,0.00005996625,0.9933824,0.0002778591,0.0003102136,0.0004288016,0.000295742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01422507,0.0004465559,0.979382,0.005030171,0.00006269946,0.0004653907,0.0000200394,0.0001407688,0.0002272574],"genre_scores_gemma":[0.9810398,0.005799477,0.01196388,0.0008994982,0.000008881311,0.0001124212,0.00002540615,0.0000100865,0.0001405661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9674182,"threshold_uncertainty_score":0.9999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103740065848943,"score_gpt":0.2861561134260506,"score_spread":0.2451187127675612,"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."}}