{"id":"W2118626712","doi":"10.1109/twc.2005.844149","title":"Capacity and error probability analysis for orthogonal space-time block codes over fading channels","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Block code; Fading; Quadrature amplitude modulation; Phase-shift keying; QAM; Mathematics; Algorithm; Rayleigh fading; Nakagami distribution; Channel capacity; Coding gain; Additive white Gaussian noise; Fading distribution; Topology (electrical circuits); Computer science; Telecommunications; Bit error rate; Channel (broadcasting); Decoding methods; Combinatorics","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"],"consensus_categories":[],"category_scores_codex":[0.0003038828,0.0003137403,0.0004591349,0.0004324173,0.0006746259,0.00006866811,0.0008102047,0.0001808964,0.00004778115],"category_scores_gemma":[0.00001190278,0.000359273,0.0002530423,0.0008041148,0.0003366112,0.0004025695,0.00001521766,0.0005190306,0.0000137756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002454964,"about_ca_system_score_gemma":0.00002552202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003374308,"about_ca_topic_score_gemma":0.0006493881,"domain_scores_codex":[0.9985135,0.000138299,0.000513309,0.0003214029,0.0001806377,0.0003328111],"domain_scores_gemma":[0.9967077,0.000582975,0.0001074197,0.002289019,0.0001687377,0.0001441076],"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":[0.00002839153,0.0004635286,0.00009574178,0.00007765209,0.0007959315,9.912947e-8,0.001074255,0.9509677,0.01596716,0.002543858,0.00008136121,0.02790434],"study_design_scores_gemma":[0.0003898949,0.00004087411,0.0003333848,0.00005181477,0.0003309931,0.00000396603,0.00004326406,0.9624614,0.03230925,0.0007555995,0.002815966,0.0004635666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2318782,0.0001865373,0.7645427,0.001110464,0.00004398697,0.0007243716,0.0003083863,0.000969838,0.0002355532],"genre_scores_gemma":[0.9297944,0.000740646,0.06824698,0.00004690331,0.00002126036,0.0009307998,0.00003967191,0.00006001579,0.000119368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6979162,"threshold_uncertainty_score":0.9998859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788420617683017,"score_gpt":0.2799562041534497,"score_spread":0.2420719979766195,"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."}}