{"id":"W2163708326","doi":"10.1109/tsp.2006.885761","title":"The Amplify-and-Forward Half-Duplex Cooperative System: Pairwise Error Probability and Precoder Design","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pairwise error probability; Diversity gain; Coding gain; MIMO; Control theory (sociology); Mathematics; Algorithm; Computer science; Quadrature amplitude modulation; Topology (electrical circuits); Bit error rate; Statistics; Decoding methods; Beamforming","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":[0.001144468,0.0006868594,0.0006270112,0.0002913648,0.00034244,0.0007971605,0.0008518659,0.001077254,0.0009891745],"category_scores_gemma":[0.003440413,0.0003568473,0.0002535871,0.000435179,0.0008247262,0.001091923,0.0007989987,0.0006452408,0.000388778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006251953,"about_ca_system_score_gemma":0.0009703846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009501437,"about_ca_topic_score_gemma":0.001000469,"domain_scores_codex":[0.9990615,0.0003784164,0.00003578518,0.0001549107,0.0003100527,0.00005939327],"domain_scores_gemma":[0.9985922,0.0007966274,0.0001455181,0.0001401493,0.0002947901,0.00003073661],"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":[0.0001837582,0.00005661865,0.001292716,0.0002727024,0.0001036152,0.0004886087,0.0003255023,0.7667317,0.02853671,0.1081818,0.001102513,0.09272376],"study_design_scores_gemma":[0.00001962115,0.00009746498,0.0002636242,0.00001617732,0.00002824268,0.0003963749,0.00003098141,0.9717302,0.007733305,0.01839392,0.001266397,0.00002371201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01490826,0.0003218572,0.9829421,0.000120367,0.00001545638,0.00003880659,0.00003030174,0.00007255816,0.001550239],"genre_scores_gemma":[0.8027231,0.0009734068,0.1925993,0.0001708549,0.00008067067,0.0002597219,0.00008789021,0.00002684291,0.003078265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001144468,"threshold_uncertainty_score":0.006052613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06548811704567381,"score_gpt":0.2922827195025489,"score_spread":0.226794602456875,"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."}}