{"id":"W1942242957","doi":"10.1002/dac.2329","title":"Performance analysis of decision directed maximum likelihood MIMO channel tracking algorithm","year":2012,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Channel (broadcasting); Computer science; Algorithm; MIMO; Tracking (education); Mode (computer interface); Doppler effect; Bit error rate; Word error rate; Telecommunications; Speech recognition","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":[0.00261261,0.0007097973,0.0006902086,0.0006633824,0.0005166339,0.001486988,0.0007402368,0.0009593839,0.002714171],"category_scores_gemma":[0.01320951,0.0003032387,0.0003660928,0.0007078821,0.0007057945,0.0011985,0.001348369,0.0007779533,0.0008567655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009099919,"about_ca_system_score_gemma":0.001677077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192286,"about_ca_topic_score_gemma":0.001088426,"domain_scores_codex":[0.9973956,0.001038416,0.0001153614,0.0002725595,0.0009445028,0.000233574],"domain_scores_gemma":[0.9924906,0.004949677,0.00046794,0.0005702255,0.001381528,0.000139957],"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":[0.0006302817,0.00006124793,0.00251046,0.000131471,0.00007937592,0.00009411616,0.0001274185,0.8683174,0.008361132,0.01561435,0.001524731,0.102548],"study_design_scores_gemma":[0.00001198986,0.00004844628,0.0002929072,0.000009258364,0.00000833316,0.00005590009,0.00001202917,0.9940269,0.003269307,0.001988222,0.0002647065,0.00001212116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03402566,0.0005387303,0.9598794,0.0002319172,0.00003929078,0.00004351939,0.00006831247,0.0005765188,0.00459655],"genre_scores_gemma":[0.8443541,0.0004580389,0.1516746,0.0002190848,0.00004120306,0.0001026606,0.0002814822,0.0001077859,0.00276103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002714171,"threshold_uncertainty_score":0.01381695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581395111622862,"score_gpt":0.2699696193771431,"score_spread":0.2541556682609145,"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."}}