{"id":"W4232310796","doi":"10.4018/978-1-61520-674-2.ch028","title":"Parallel Soft Spherical Detection for Coded MIMO Systems","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in wireless technologies and telecommunication book series","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada); University of Waterloo; Huawei Technologies (Canada)","funders":"","keywords":"MIMO; Decoding methods; Computer science; Algorithm; 3G MIMO; Wireless; Channel (broadcasting); Metric (unit); Detector; A priori and a posteriori; Computer engineering; Theoretical computer science; Electronic engineering; Engineering; 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":[0.0002129054,0.0007608696,0.0004361394,0.0004807986,0.0002150689,0.001048846,0.0004930522,0.0006160115,0.005061758],"category_scores_gemma":[0.001020412,0.0002705346,0.0003468157,0.0007447543,0.0004243224,0.0009379538,0.0006092165,0.0009315375,0.002736283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891922,"about_ca_system_score_gemma":0.0005875256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004776471,"about_ca_topic_score_gemma":0.0006583949,"domain_scores_codex":[0.9997213,0.00004205185,0.000011437,0.00003779547,0.0001741022,0.00001320912],"domain_scores_gemma":[0.9996589,0.0001550545,0.00001977951,0.00004454315,0.0001131577,0.000008473638],"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":[0.00009690456,0.00003978951,0.0001943256,0.0006361891,0.00003581081,0.000268246,0.000195482,0.1112204,0.02938833,0.2587259,0.01835777,0.5808408],"study_design_scores_gemma":[0.00001674506,0.0001632193,0.0003765237,0.0001490644,0.00002650217,0.001291885,0.00007681452,0.7118276,0.02532743,0.1047885,0.1558929,0.00006294796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002987103,0.004655499,0.9661376,0.0002175589,0.0003978969,0.00003687915,0.00005235634,0.000490443,0.02502468],"genre_scores_gemma":[0.1701492,0.0220593,0.7036744,0.0005839036,0.0008295497,0.0001713962,0.0004184319,0.0003364306,0.1017774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005061758,"threshold_uncertainty_score":0.0169332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038161114202209,"score_gpt":0.2394559254405725,"score_spread":0.2290743142985504,"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."}}