{"id":"W2144841774","doi":"10.1109/tsp.2006.872585","title":"Iterative multiuser detection and error control code decoding in random CDMA","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; University of Alberta","funders":"","keywords":"Computer science; Minimum mean square error; Algorithm; Decoding methods; Code division multiple access; Turbo code; Single antenna interference cancellation; EXIT chart; Bit error rate; Mathematics; Concatenated error correction code; Telecommunications; Statistics; Block code","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":[0.0006662685,0.0004555812,0.000464485,0.000331075,0.0003017572,0.0005800521,0.0006001879,0.0007543119,0.000708016],"category_scores_gemma":[0.003287536,0.0003525114,0.0003244411,0.0006220511,0.0006939674,0.0006998286,0.0004907725,0.0005143888,0.0002791436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008963797,"about_ca_system_score_gemma":0.0008108218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682066,"about_ca_topic_score_gemma":0.003132805,"domain_scores_codex":[0.9989293,0.0004303753,0.00002909546,0.0001076265,0.0004087037,0.00009487609],"domain_scores_gemma":[0.9986604,0.0008606584,0.0001454512,0.00008904796,0.000226637,0.00001765496],"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":[0.0001083033,0.00003735839,0.001409337,0.0001350738,0.00004795874,0.0003131801,0.0002288695,0.817538,0.01239925,0.1040701,0.0007079419,0.06300469],"study_design_scores_gemma":[0.00000534675,0.00002553284,0.0001832375,0.000004925328,0.000005893895,0.00008212333,0.00000892253,0.9893335,0.003347253,0.006457576,0.000537974,0.000007637144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03852277,0.0006985285,0.9560707,0.000119223,0.00003233704,0.00003379492,0.00002116813,0.0001847498,0.004316725],"genre_scores_gemma":[0.7687278,0.0008599859,0.2221607,0.00009547256,0.00006503482,0.0001250494,0.00005733182,0.00005386966,0.007854628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002682066,"threshold_uncertainty_score":0.006503701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229646519331228,"score_gpt":0.2527613133988497,"score_spread":0.2404648482055374,"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."}}