{"id":"W1952504402","doi":"10.1002/wcm.2389","title":"Information‐guided communications in MIMO systems with channel state impairments","year":2013,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Channel (broadcasting); Channel state information; Transmitter; MIMO; Antenna diversity; Precoding; Antenna (radio); Ideal (ethics); Electronic engineering; Telecommunications; Wireless","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":[0.0008161659,0.000489602,0.0005395033,0.0002813715,0.0003091632,0.000676356,0.0003164644,0.0004602892,0.0008093312],"category_scores_gemma":[0.001532446,0.0001940754,0.0001651545,0.0003610291,0.0008725359,0.0005500162,0.0007506075,0.0003469804,0.0001310001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903368,"about_ca_system_score_gemma":0.0004869372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415756,"about_ca_topic_score_gemma":0.001205404,"domain_scores_codex":[0.9995108,0.0001891557,0.00001336717,0.00004576337,0.0001276263,0.0001133577],"domain_scores_gemma":[0.9989185,0.0006786791,0.0001777556,0.00008345878,0.0001111292,0.00003044316],"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":[0.0001509831,0.00003397712,0.001117798,0.000107425,0.00004485561,0.0004881819,0.0001196575,0.8947649,0.01087657,0.07454542,0.0008231113,0.0169272],"study_design_scores_gemma":[0.000008997361,0.00005893687,0.0003925163,0.00001089323,0.00001187412,0.0001272777,0.00002940162,0.9832417,0.001993991,0.01372131,0.0003920961,0.00001104118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2130805,0.0008150573,0.7758738,0.0003460117,0.00006202652,0.00003579444,0.0001021288,0.0001868452,0.009497943],"genre_scores_gemma":[0.9912257,0.0002687022,0.007522724,0.00004089331,0.00002276051,0.00001217972,0.00001926329,0.000004589407,0.0008831748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001415756,"threshold_uncertainty_score":0.00431633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296044205015859,"score_gpt":0.241056026789786,"score_spread":0.2280955847396275,"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."}}