{"id":"W1561791343","doi":"","title":"Iterative Multiuser Detection of Random CDMA Using Partitioned Spreading","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Low-density parity-check code; Computer science; Decoding methods; Algorithm; Code division multiple access; Random access; Belief propagation; Gaussian; Theoretical computer science; Computer network","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":[0.0000519391,0.00007155932,0.0001086807,0.00007473797,0.00004097556,0.000008951525,0.00005874486,0.00003876376,0.00002236268],"category_scores_gemma":[0.0000100598,0.00007293769,0.0000310431,0.0001216507,0.00002249933,0.0002078551,0.00001408434,0.00005988258,0.000002824202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005034118,"about_ca_system_score_gemma":0.000002058049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007050161,"about_ca_topic_score_gemma":0.00005460756,"domain_scores_codex":[0.9995828,0.00002117199,0.0001985968,0.00006005952,0.00005597118,0.00008144356],"domain_scores_gemma":[0.9996701,0.00005665867,0.00003660794,0.0001762972,0.00004836782,0.00001195474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008582535,0.00001139237,0.0001546587,0.00001340168,0.000007404939,1.861438e-7,0.0000629482,0.115014,0.8819979,0.0005574431,0.00001326109,0.00215886],"study_design_scores_gemma":[0.0002626435,0.000004651662,0.0002166711,0.00001977677,0.000003632356,9.901049e-7,0.00001884642,0.2415164,0.7570769,0.0006731108,0.0001419811,0.00006439949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2547495,0.0000731063,0.7424522,0.000002833042,0.00002638185,0.0001014916,0.000001554897,0.0004112744,0.002181638],"genre_scores_gemma":[0.9519404,0.00001787324,0.04794125,0.000003790927,0.00001890334,0.00001924641,0.000004408488,0.00001637196,0.00003778917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6971909,"threshold_uncertainty_score":0.2974313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168918063356463,"score_gpt":0.24098994003854,"score_spread":0.2293007594049754,"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."}}