{"id":"W2119991635","doi":"10.1109/icc.2011.5962690","title":"A Complexity-Efficient Sphere Decoder for MIMO Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computational complexity theory; MIMO; Decoding methods; Computer science; Signal-to-noise ratio (imaging); Detector; Algorithm; Range (aeronautics); Constant (computer programming); 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":[0.00006474685,0.00008762298,0.0001117446,0.00002943261,0.00004272912,0.00001042357,0.0002176132,0.0000424102,0.00008439994],"category_scores_gemma":[0.00000758952,0.00008322628,0.00003458675,0.00006086237,0.00002863785,0.00004128057,0.00003129185,0.0000604769,0.00002109204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003838784,"about_ca_system_score_gemma":0.000003903299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003599948,"about_ca_topic_score_gemma":0.00002935042,"domain_scores_codex":[0.9995528,0.00000991141,0.0001617123,0.00008259722,0.00004936963,0.0001436492],"domain_scores_gemma":[0.9994617,0.00003805602,0.00001947474,0.0003961676,0.00004682043,0.00003783446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001798665,0.0001618837,0.0001376843,0.0002976414,0.00007176715,0.000001103214,0.0009832702,0.04281889,0.004097391,0.9285008,0.009090418,0.01382119],"study_design_scores_gemma":[0.000280451,0.00003776209,0.0003916343,0.00004810831,0.000008436381,0.000005174766,0.0004126302,0.9366594,0.02762688,0.005167004,0.02903087,0.0003316488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006280967,0.0003831871,0.9515005,0.000006992524,0.00009749158,0.0003900724,0.000007392888,0.001431852,0.03990148],"genre_scores_gemma":[0.8052988,0.00001965473,0.1942164,0.00001673566,0.00001157219,0.0001869917,0.000005009349,0.00002742767,0.0002174079],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9233338,"threshold_uncertainty_score":0.3393869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0913421923627581,"score_gpt":0.2682332018014424,"score_spread":0.1768910094386843,"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."}}