{"id":"W2171250293","doi":"10.1109/tcomm.2005.849638","title":"Iterative Tree Search Detection for MIMO Wireless Systems","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Turbo; Computer science; Quadrature amplitude modulation; Turbo code; Algorithm; Computational complexity theory; Tree (set theory); Wireless; Detection theory; Bit error rate; QAM; Electronic engineering; Mathematics; Decoding methods; Channel (broadcasting); Telecommunications; Engineering; Detector","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":[0.0001918138,0.0002138481,0.0002146154,0.0002868073,0.0006285768,0.0000759587,0.000923536,0.0001390311,0.00001277957],"category_scores_gemma":[0.000004132562,0.0002462227,0.0001241992,0.0003896331,0.0001306932,0.0003987645,0.000005618601,0.000524254,0.00005893381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003407952,"about_ca_system_score_gemma":0.00002371864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002543739,"about_ca_topic_score_gemma":0.0005405664,"domain_scores_codex":[0.9988623,0.0001327538,0.0004061853,0.0001865119,0.0001529041,0.0002593427],"domain_scores_gemma":[0.9969819,0.0005393816,0.00005000246,0.002137506,0.0002043168,0.0000868844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003283062,0.000335801,0.000001491569,0.00006875351,0.0001336344,1.184497e-7,0.00110314,0.4277454,0.04611117,0.002569578,0.0002987635,0.5215994],"study_design_scores_gemma":[0.0003714917,0.00007207198,0.00001096865,0.00006756155,0.00002867049,0.000006513063,0.0002645862,0.7369347,0.2368809,0.0001053604,0.02497598,0.0002812514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002573818,0.0005492327,0.9910604,0.0005119017,0.0001846766,0.0009137735,0.0001136301,0.001436597,0.002655959],"genre_scores_gemma":[0.9669185,0.0017506,0.02871102,0.00003776247,0.0000437095,0.002025097,0.00002535926,0.00007694083,0.0004109876],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9643447,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672285389025646,"score_gpt":0.2979098798032245,"score_spread":0.2611870259129681,"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."}}