{"id":"W2950128285","doi":"10.1049/iet-com.2018.6023","title":"MMSE‐based iterative processing with imperfect channel and parity check in MIMO systems","year":2019,"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":"Memorial University of Newfoundland","funders":"","keywords":"Imperfect; MIMO; Computer science; Parity (physics); Algorithm; Channel (broadcasting); Mathematics; Telecommunications","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":[0.0001744286,0.0001506475,0.0002099617,0.0001271633,0.0001125877,0.00006944065,0.0005742741,0.00007376817,0.000003040696],"category_scores_gemma":[0.00001399861,0.0001452923,0.00001702575,0.0003305993,0.0001127145,0.0003081764,0.0001326045,0.0003739152,0.000007925213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009413472,"about_ca_system_score_gemma":0.00003214622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006564683,"about_ca_topic_score_gemma":0.0001714827,"domain_scores_codex":[0.9992695,0.0001064492,0.0002327263,0.0001390222,0.00008680134,0.0001654286],"domain_scores_gemma":[0.9981008,0.0001713436,0.00006452505,0.001537984,0.00008269236,0.0000427072],"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":[0.0002680714,0.002067697,0.1457177,0.005668052,0.0004460884,0.00001201531,0.03911809,0.6098468,0.07340883,0.05421503,0.001241126,0.06799044],"study_design_scores_gemma":[0.000615452,0.00006410753,0.005603404,0.0006821284,0.00001063601,0.00000741544,0.0007097787,0.9858921,0.002739976,0.0002741747,0.003025986,0.0003748308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7605747,0.03231724,0.1592052,0.003029532,0.0001428426,0.004791309,0.00009519357,0.003881302,0.03596271],"genre_scores_gemma":[0.9848967,0.0005967214,0.01399738,0.00003417556,0.000005170634,0.0003624257,0.0000423448,0.00003600654,0.0000290418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3760453,"threshold_uncertainty_score":0.5924847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749278100913105,"score_gpt":0.263899680294135,"score_spread":0.246406899285004,"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."}}