{"id":"W2170139845","doi":"10.1109/tvt.2006.877459","title":"Performance Bounds for Combined Channel Coding and Space–Time Block Coding With Receive Antenna Selection","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Block code; Upper and lower bounds; Concatenation (mathematics); Algorithm; Fading; Coding gain; Space–time block code; Mathematics; Concatenated error correction code; Computer science; Convolutional code; Space–time code; Topology (electrical circuits); 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":[],"consensus_categories":[],"category_scores_codex":[0.00008290279,0.000224107,0.000248938,0.0004873944,0.0003472384,0.00002400286,0.0001581336,0.0002576363,0.000003446756],"category_scores_gemma":[0.000002923697,0.000234731,0.00004088868,0.0005458242,0.0001522806,0.0001718272,0.000002156862,0.0003905687,0.000004650819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368948,"about_ca_system_score_gemma":0.00001175158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000757963,"about_ca_topic_score_gemma":0.00002911744,"domain_scores_codex":[0.9991367,0.00001381344,0.0002139815,0.0002465959,0.00009181642,0.0002970659],"domain_scores_gemma":[0.9994415,0.00005536154,0.0000580019,0.0003076378,0.0001070966,0.0000303914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002126643,0.0002125362,0.0001326871,0.0002453269,0.0001990966,0.000004991809,0.0001018524,0.3533773,0.6302469,0.001515627,0.0001588328,0.01359223],"study_design_scores_gemma":[0.0006024789,0.0003616842,0.00004202796,0.0001134372,0.00003539495,0.0000653597,0.00003465477,0.5366591,0.461068,0.0003558149,0.0004078156,0.0002541782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2935938,0.00007205748,0.7035022,0.0003082135,0.0000498821,0.0004273462,0.000009498131,0.001952611,0.0000844397],"genre_scores_gemma":[0.9853426,0.0004231,0.01360404,0.00001314941,0.00001366848,0.0003891385,0.00000687279,0.00006518431,0.0001422394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6917489,"threshold_uncertainty_score":0.9572051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006032298490512795,"score_gpt":0.2013130184896643,"score_spread":0.1952807199991515,"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."}}