{"id":"W1975708134","doi":"10.1109/iccchina.2012.6356937","title":"Partial expansion sphere decoder with reduced branching factor for MIMO systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Branching (polymer chemistry); MIMO; Tree (set theory); Decoding methods; Algorithm; Pruning; Search tree; Computer science; Factor (programming language); Enumeration; Mathematics; Mathematical optimization; Search algorithm; Discrete mathematics; Combinatorics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005024232,0.0005698547,0.0006120186,0.0003705855,0.0002848947,0.0005589853,0.0005005167,0.0005882092,0.001466903],"category_scores_gemma":[0.001941832,0.0002238353,0.0003384878,0.0006606429,0.0004428189,0.0009533482,0.000713131,0.0007268746,0.0005372928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471931,"about_ca_system_score_gemma":0.0009871136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546376,"about_ca_topic_score_gemma":0.0024195,"domain_scores_codex":[0.9995753,0.0001621442,0.00002266367,0.00004491015,0.0001484156,0.00004653277],"domain_scores_gemma":[0.9992064,0.0005289451,0.00003988404,0.00007731612,0.0001145622,0.00003285383],"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":[0.0003391257,0.00006603442,0.001181051,0.0001701958,0.00005279737,0.0003353607,0.0001517618,0.5688519,0.04003396,0.08817434,0.002927668,0.2977157],"study_design_scores_gemma":[0.00001277517,0.00004384785,0.00008710545,0.000007574355,0.000007035065,0.0001376517,0.000008619559,0.9817358,0.00763434,0.008623494,0.001692182,0.000009577099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01526395,0.0002828971,0.9820817,0.00007847875,0.00001181684,0.00001715709,0.00003706851,0.0002892958,0.001937636],"genre_scores_gemma":[0.4712387,0.0008202794,0.5235412,0.0001398445,0.00004155437,0.00008379818,0.0002636116,0.00007645396,0.003794464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001546376,"threshold_uncertainty_score":0.00490725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296953471235845,"score_gpt":0.2646332202743058,"score_spread":0.2416636855619474,"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."}}