{"id":"W2080822912","doi":"10.1049/iet-com:20050589","title":"New concatenated coding and space–time modulation scheme for MIMO wireless communications","year":2007,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; MIMO; Diversity gain; Coding gain; Multiplexing; Spatial multiplexing; Coding (social sciences); Space–time code; Modulation (music); Wireless; Algorithm; Decoding methods; Electronic engineering; Computer network; Telecommunications; Mathematics; Channel (broadcasting); Engineering","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":[0.0005244418,0.0002406705,0.0002803278,0.0002287683,0.0005703771,0.00007452341,0.001844235,0.0001802411,0.0000152783],"category_scores_gemma":[0.000098175,0.0002933746,0.00007316605,0.0004732878,0.0002719747,0.0004056999,0.0005855398,0.0004086105,0.00002513826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677704,"about_ca_system_score_gemma":0.00003708502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005548408,"about_ca_topic_score_gemma":0.0001774056,"domain_scores_codex":[0.998709,0.0000729385,0.0005553262,0.0001959684,0.0001298841,0.0003368902],"domain_scores_gemma":[0.9942654,0.001075778,0.0001470966,0.004115882,0.0002220657,0.0001737716],"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":[0.00004944297,0.0002429714,0.001629891,0.0001544129,0.0003083308,5.840405e-7,0.002643274,0.001106607,0.4117118,0.3488775,0.01349899,0.2197761],"study_design_scores_gemma":[0.001158332,0.00005067289,0.00341762,0.0001904531,0.00006049813,0.00001369141,0.0003688171,0.838833,0.02081786,0.009722735,0.1245642,0.0008021527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01122709,0.00337052,0.9670177,0.004398538,0.00007410999,0.001328975,0.00006858851,0.002484298,0.01003022],"genre_scores_gemma":[0.6328231,0.002600545,0.3637708,0.00005673701,0.00002111163,0.0001228262,0.0003024431,0.00006249729,0.0002399521],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8377264,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325588888763444,"score_gpt":0.3030874516351529,"score_spread":0.2705285627588085,"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."}}