{"id":"W2036282249","doi":"10.1002/ett.1269","title":"Two‐stage detection of partitioned random CDMA","year":2008,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Code division multiple access; Asynchronous communication; Multiuser detection; Computer science; Transmission (telecommunications); Single antenna interference cancellation; Algorithm; Interference (communication); Maximum a posteriori estimation; Decoding methods; Electronic engineering; Mathematics; Telecommunications; Channel (broadcasting); Statistics; Maximum likelihood; Engineering","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":[0.0006750623,0.0005764071,0.0005252406,0.0003191592,0.0002175859,0.0008594143,0.0006921313,0.0005636222,0.001303727],"category_scores_gemma":[0.002727027,0.0003812038,0.0002937145,0.0002990519,0.0005593376,0.000683109,0.0007337917,0.0003950615,0.0004524118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518268,"about_ca_system_score_gemma":0.0004621736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000638306,"about_ca_topic_score_gemma":0.0006484159,"domain_scores_codex":[0.9988906,0.000382749,0.00002809289,0.0001396257,0.0004199278,0.0001389761],"domain_scores_gemma":[0.998211,0.0009242526,0.0002002196,0.0002295971,0.0003924144,0.00004240628],"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":[0.001422083,0.0001757078,0.002177895,0.0002250915,0.0001220885,0.0006994666,0.0003381193,0.4842266,0.2666707,0.07935331,0.001452855,0.1631362],"study_design_scores_gemma":[0.00003501598,0.000130352,0.0002709915,0.000007336544,0.00001376707,0.0001732017,0.0000108283,0.9712362,0.02286786,0.004530874,0.0007086779,0.00001490166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1367767,0.0001728011,0.8586947,0.00009802149,0.00003154084,0.00003655415,0.00003175337,0.0003880856,0.003769789],"genre_scores_gemma":[0.8740498,0.0001192864,0.1222425,0.00007177111,0.00003468135,0.00004191401,0.00005433788,0.00003336183,0.003352409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001303727,"threshold_uncertainty_score":0.004361391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235289316292023,"score_gpt":0.2772319239691823,"score_spread":0.234879030806262,"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."}}