{"id":"W2035005778","doi":"10.1109/cjece.2004.1426048","title":"Antenna selection for space-time block codes over correlated Rayleigh fading channels","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rayleigh fading; Fading; Selection (genetic algorithm); Antenna (radio); Computer science; Block (permutation group theory); Block code; Telecommunications; Rayleigh scattering; Electronic engineering; Mathematics; Channel (broadcasting); Physics; Engineering; Decoding methods; Optics; Combinatorics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267572,0.0008845174,0.0009615302,0.0006236783,0.0006078036,0.001183688,0.0006086062,0.0007904838,0.001440489],"category_scores_gemma":[0.006787788,0.0006119242,0.0004337117,0.001637047,0.0009008921,0.0008420961,0.001127926,0.0006873109,0.0005656726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009947702,"about_ca_system_score_gemma":0.002032089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00436776,"about_ca_topic_score_gemma":0.007930559,"domain_scores_codex":[0.998193,0.000724556,0.00006970669,0.000133429,0.0005007379,0.0003786255],"domain_scores_gemma":[0.9928895,0.005382143,0.0004645196,0.0004160946,0.0007017704,0.0001458344],"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":[0.001109513,0.00005519194,0.003370529,0.000179731,0.000191335,0.0004899204,0.0002697165,0.8383382,0.0216383,0.03279986,0.002853926,0.09870376],"study_design_scores_gemma":[0.00006123402,0.0001017221,0.0007605505,0.00002271698,0.00004508436,0.0002216738,0.00003896643,0.9821362,0.005140027,0.01062754,0.0008201352,0.00002412651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1119743,0.001218368,0.8811522,0.0004244045,0.00008845382,0.00006714558,0.0002101318,0.0003757845,0.004489304],"genre_scores_gemma":[0.9159811,0.001338172,0.07739367,0.0001436259,0.0001227845,0.0001271503,0.0003573708,0.00007920792,0.004456952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00436776,"threshold_uncertainty_score":0.008684695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004925494992301724,"score_gpt":0.1833955758187577,"score_spread":0.1784700808264559,"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."}}