{"id":"W2100157221","doi":"10.1109/twc.2009.12.081255","title":"Parallel detection of MC-CDMA in fast fading","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Fading; Computer science; Algorithm; Multiuser detection; Decoding methods; Computational complexity theory; Block (permutation group theory); Detector; Detection theory; Mathematics; 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":[0.0009049442,0.0005105542,0.0005609184,0.0006333786,0.0004930625,0.000552447,0.0004805807,0.0004075275,0.0005677703],"category_scores_gemma":[0.005214983,0.0002651458,0.0002504092,0.000676534,0.0006296065,0.0006644846,0.0006151209,0.0005432286,0.0002428771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006535399,"about_ca_system_score_gemma":0.001305807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341063,"about_ca_topic_score_gemma":0.003856016,"domain_scores_codex":[0.998755,0.0002415218,0.00004233004,0.000165571,0.0006711781,0.0001244263],"domain_scores_gemma":[0.9976526,0.001160541,0.0002611573,0.0003118864,0.0005676527,0.00004619109],"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":[0.0007045356,0.00009180468,0.002880208,0.0001457859,0.00007909946,0.0004715249,0.0002985868,0.5786114,0.09613352,0.03786982,0.0009765901,0.2817371],"study_design_scores_gemma":[0.00001722861,0.00006452031,0.0004959767,0.000008134377,0.00001173423,0.0001984029,0.00001495029,0.9681788,0.02424503,0.005657603,0.00109199,0.00001563958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1189578,0.0004253138,0.8758562,0.0001414517,0.00005237252,0.00006080773,0.00003649356,0.0004375882,0.00403194],"genre_scores_gemma":[0.7165745,0.0003741581,0.2802961,0.00006379779,0.0000525304,0.00006891425,0.0000430438,0.00003734197,0.002489526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003341063,"threshold_uncertainty_score":0.006643176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044154636672976,"score_gpt":0.3041542571562045,"score_spread":0.2637127107894747,"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."}}