{"id":"W2163212918","doi":"10.1109/wcnc.2007.220","title":"Amount of Fading Analysis for Transmit Antenna Selection in MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Rayleigh fading; MIMO; Computer science; Antenna (radio); Selection (genetic algorithm); Simple (philosophy); Diversity gain; Fading distribution; Coding (social sciences); Electronic engineering; Outage probability; Algorithm; Telecommunications; Mathematics; Statistics; Decoding methods; Engineering; Channel (broadcasting)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002935707,0.00008031795,0.0002216706,0.0004756498,0.00001359167,0.000007207193,0.00004009134,0.00006254257,0.000005422255],"category_scores_gemma":[0.00001146175,0.00008225562,0.00006504242,0.001005493,0.000005005966,0.0001214125,0.000001526358,0.00003854654,7.449659e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236119,"about_ca_system_score_gemma":0.000003315819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525885,"about_ca_topic_score_gemma":0.0008649835,"domain_scores_codex":[0.9992838,0.000006973847,0.0003787812,0.0001036344,0.00005984785,0.0001669586],"domain_scores_gemma":[0.9997584,0.00005723481,0.00003924874,0.00006086386,0.00006041702,0.00002389863],"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":[0.000008302824,0.000007390688,0.004349588,0.0001442545,0.00009319271,2.711982e-7,0.0001668116,0.9597065,0.03471856,0.0005628344,0.000004371431,0.0002379236],"study_design_scores_gemma":[0.0001993764,0.00001601031,0.001542966,0.00002889647,0.0000584286,0.000001256138,0.0003531192,0.9891768,0.008466425,0.00001444375,0.00004705215,0.00009528144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04021428,0.0001634299,0.9583977,0.000001792174,0.00008777069,0.0003010043,0.000003482613,0.0001142295,0.0007163474],"genre_scores_gemma":[0.9874751,0.00001099887,0.01233964,0.00000139627,0.00002756886,0.00001988225,0.000007709751,0.00001808415,0.00009963015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9472608,"threshold_uncertainty_score":0.3354287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009912032402456224,"score_gpt":0.2340765107894134,"score_spread":0.2241644783869572,"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."}}