{"id":"W2143471372","doi":"10.1109/isita.2008.4895585","title":"Adaptive lattice reduction in MIMO systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lattice reduction; MIMO; Lattice (music); Reduction (mathematics); Algorithm; Fading; Computer science; Wireless; Rayleigh fading; Mathematics; Channel (broadcasting); Decoding methods; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005143709,0.000506642,0.0007337379,0.0003363237,0.0004019115,0.0006587853,0.0006356415,0.0004423808,0.001613627],"category_scores_gemma":[0.001860617,0.0002732557,0.00037217,0.0005105759,0.0008547344,0.0008247406,0.0008937606,0.001153666,0.0007250361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458122,"about_ca_system_score_gemma":0.0005603547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248108,"about_ca_topic_score_gemma":0.001199371,"domain_scores_codex":[0.9992629,0.0002720711,0.00002198952,0.00007223742,0.0003153297,0.00005543962],"domain_scores_gemma":[0.9992763,0.000362059,0.00005217412,0.0001250183,0.0001502213,0.00003417834],"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":[0.0003007722,0.0000954254,0.0005062935,0.0001720346,0.00005255071,0.0001855704,0.0001598503,0.6119522,0.02964884,0.1379005,0.004557133,0.2144688],"study_design_scores_gemma":[0.00002319971,0.00005129067,0.00006483273,0.000006585786,0.000004447513,0.000063796,0.00001346949,0.9660169,0.004549262,0.02661327,0.002575597,0.00001735683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01336286,0.0004280948,0.9822115,0.0001636208,0.0000735662,0.00002763214,0.00003228128,0.0002894058,0.003411045],"genre_scores_gemma":[0.521783,0.001017173,0.4696462,0.0002021049,0.0001729938,0.000154458,0.000167367,0.0001181676,0.006738551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001613627,"threshold_uncertainty_score":0.005398095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928896087247192,"score_gpt":0.2402572550538596,"score_spread":0.2109682941813876,"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."}}