{"id":"W2072328035","doi":"10.1109/istc.2014.6955127","title":"Transmit antenna selection for coded multiple-input dual-output systems","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; WiMAX; Computer science; Space–time block code; Turbo code; Turbo; Context (archaeology); Antenna (radio); Selection (genetic algorithm); 3G MIMO; Multi-user MIMO; Spectral efficiency; Coding gain; Bit error rate; Electronic engineering; Telecommunications; Decoding methods; Wireless; Engineering; Channel (broadcasting); Artificial intelligence","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":[0.0003543,0.0003816659,0.0002326227,0.0001782585,0.0001639222,0.0005134277,0.0002495849,0.0002584178,0.0006499757],"category_scores_gemma":[0.001501054,0.0001124164,0.0001063981,0.000359607,0.0003728637,0.0002090989,0.0003685353,0.0003351047,0.0002099868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790058,"about_ca_system_score_gemma":0.0004760385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005819962,"about_ca_topic_score_gemma":0.0009615875,"domain_scores_codex":[0.9995316,0.0002027816,0.00001687768,0.00003959681,0.0001626235,0.00004646692],"domain_scores_gemma":[0.999292,0.0003585295,0.00009405669,0.00007152822,0.0001554572,0.00002829356],"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":[0.0007381294,0.00009906057,0.003850199,0.0002676802,0.0000738293,0.000576514,0.0002601072,0.5408819,0.2009174,0.07142834,0.002133912,0.178773],"study_design_scores_gemma":[0.00003151644,0.0002623179,0.0009104941,0.000026164,0.00002826042,0.0003638935,0.00003191332,0.9439253,0.04181084,0.008997571,0.003584945,0.00002680782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1250864,0.000510907,0.866918,0.0001879296,0.00005602678,0.00004423014,0.00006670079,0.0001654427,0.00696442],"genre_scores_gemma":[0.9435721,0.0002802168,0.05452589,0.00007422798,0.00002986267,0.00003257608,0.00003978909,0.000011567,0.001433853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006499757,"threshold_uncertainty_score":0.002174437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322716945543381,"score_gpt":0.2625840175118046,"score_spread":0.2393568480563708,"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."}}