{"id":"W2148339888","doi":"10.1109/ccece.2007.123","title":"Reduced Complexity Belief Propagation Algorithm Based on Iterative Groupwise Multiuser Detection","year":2007,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Belief propagation; Multiuser detection; Computer science; Algorithm; Iterative method; Computational complexity theory; Detector; Joint (building); Maximum a posteriori estimation; Function (biology); Mathematics; Maximum likelihood; Decoding methods; 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":[0.001472109,0.0007864839,0.00089457,0.0007730802,0.0003715304,0.0009516404,0.001673298,0.001180528,0.001522255],"category_scores_gemma":[0.006893182,0.0004022185,0.0006294562,0.0008047156,0.0007802589,0.001484585,0.000960464,0.001883138,0.0006616997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005828158,"about_ca_system_score_gemma":0.001074098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002078646,"about_ca_topic_score_gemma":0.001833015,"domain_scores_codex":[0.9984915,0.000415296,0.00005014318,0.0001669958,0.0007696272,0.000106419],"domain_scores_gemma":[0.9970226,0.001652106,0.0001931907,0.0004128222,0.0006428062,0.00007653714],"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":[0.0002673003,0.0001581514,0.00116568,0.0001743834,0.0002103049,0.0001848764,0.000277778,0.5182704,0.02548849,0.08660196,0.004035037,0.3631656],"study_design_scores_gemma":[0.00001916382,0.00004206892,0.0000933835,0.000005254502,0.00001425936,0.00005662531,0.000004163323,0.985391,0.005439796,0.007780861,0.001140766,0.00001270037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002276954,0.00006036314,0.9967598,0.00007409578,0.00002412881,0.00001252615,0.000008626281,0.0002187022,0.0005646624],"genre_scores_gemma":[0.1480382,0.0001906536,0.8493577,0.0001307705,0.00007453767,0.000120139,0.00005420937,0.00008104919,0.001952744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002078646,"threshold_uncertainty_score":0.00778538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963010318101595,"score_gpt":0.2881129866669928,"score_spread":0.2584828834859768,"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."}}