{"id":"W2151258080","doi":"10.1109/tcomm.2003.813179","title":"On diagonal algebraic space-time block codes","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Block code; Diagonal; Algebraic number; Mathematics; Coding (social sciences); Decoding methods; Algorithm; Block matrix; Block (permutation group theory); Space–time block code; Discrete mathematics; Combinatorics; Mathematical analysis; Geometry; Statistics; Eigenvalues and eigenvectors; 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"],"consensus_categories":[],"category_scores_codex":[0.000158321,0.0002558063,0.0002255057,0.0002659552,0.000499531,0.0000402542,0.0009929008,0.0001321739,0.0002465447],"category_scores_gemma":[0.00002141909,0.0002927981,0.0001297831,0.0004579232,0.0001927501,0.0001745591,0.000004625736,0.0007261363,0.0006034755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777584,"about_ca_system_score_gemma":0.00003408872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008155685,"about_ca_topic_score_gemma":0.00004820254,"domain_scores_codex":[0.9988167,0.0002057349,0.0003313874,0.0001900792,0.0001910356,0.0002650062],"domain_scores_gemma":[0.9957376,0.0008606381,0.00005153305,0.003159248,0.00007764812,0.0001133927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004415924,0.002443428,0.00001467262,0.00006593584,0.0005174811,0.000003038034,0.001075882,0.7012203,0.04568342,0.2026232,0.008222007,0.03808651],"study_design_scores_gemma":[0.001755281,0.0004278336,0.0001400934,0.0004100017,0.0001844177,0.00006786166,0.0002188419,0.1481372,0.639848,0.04737581,0.1591678,0.002266837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00870893,0.0007099607,0.9262297,0.001183586,0.0002449742,0.0006701453,0.0001443605,0.003357449,0.05875095],"genre_scores_gemma":[0.9665744,0.001989331,0.03006898,0.0001340049,0.00000667679,0.0003957326,0.00001680937,0.00008017414,0.0007338579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9578655,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575338261857106,"score_gpt":0.2503578648488415,"score_spread":0.2346044822302704,"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."}}