{"id":"W2119777916","doi":"10.1109/glocom.2007.832","title":"An Efficient Tree Search Decoder with Column Reordering for Underdetermined MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Underdetermined system; MIMO; Computer science; Column (typography); Reduction (mathematics); Tree (set theory); Algorithm; Decoding methods; Search tree; Process (computing); Channel (broadcasting); Mathematics; Search algorithm","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":[0.0003157917,0.0001309302,0.0001514956,0.0001153918,0.00008707197,0.00004562192,0.000270962,0.00006430187,0.000006139922],"category_scores_gemma":[0.000007329933,0.0001216146,0.00002359358,0.0001639287,0.00003474723,0.00009480074,0.0000249855,0.0001025058,0.000002943108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122666,"about_ca_system_score_gemma":0.00001242614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003189723,"about_ca_topic_score_gemma":0.0003717972,"domain_scores_codex":[0.9991581,0.00001416253,0.000224837,0.0001581436,0.0001351738,0.0003096134],"domain_scores_gemma":[0.9990501,0.0001548731,0.00002237805,0.0005889099,0.00009262045,0.00009109364],"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":[0.0000784295,0.00009246759,0.0003977665,0.0002525607,0.0000428282,0.000004883882,0.0004062803,0.9297929,0.03129904,0.006221812,0.0001712501,0.0312398],"study_design_scores_gemma":[0.0004294838,0.0001549749,0.0003738739,0.00005667947,0.000006094147,0.00001023975,0.0005477731,0.924839,0.07153217,0.00003507988,0.001748644,0.0002659909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1317248,0.00009890938,0.8618265,0.00001174127,0.0000394386,0.0005612691,0.000002648997,0.001230709,0.004503869],"genre_scores_gemma":[0.8651061,0.00001265447,0.1345097,0.00001142362,0.0000230778,0.00009706571,0.000009218664,0.00005665801,0.0001741045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7333813,"threshold_uncertainty_score":0.4959299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844187631684092,"score_gpt":0.2904899218065848,"score_spread":0.2720480454897439,"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."}}