{"id":"W2165478647","doi":"10.1049/iet-com:20070304","title":"Efficient multi-user detection scheme for overloaded group-orthogonal MC-CDMA systems","year":2008,"lang":"en","type":"article","venue":"IET Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Code division multiple access; Multiuser detection; Computer science; Quadrature amplitude modulation; Modulation (music); Algorithm; Phase-shift keying; Constant (computer programming); Scheme (mathematics); Mathematics; Telecommunications; Bit error rate; Decoding methods","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":[0.000803123,0.0004048069,0.0007020179,0.0006931366,0.0005946845,0.0005237357,0.0006713427,0.0004680866,0.001348754],"category_scores_gemma":[0.001788229,0.0001894051,0.0001669153,0.0003503736,0.0004127936,0.0005644509,0.0009310765,0.0004515697,0.0003296951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903509,"about_ca_system_score_gemma":0.0005275054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370123,"about_ca_topic_score_gemma":0.0007249214,"domain_scores_codex":[0.9990306,0.0002746633,0.00006077076,0.0001095677,0.0004101778,0.0001143284],"domain_scores_gemma":[0.9990224,0.0002667547,0.0001189327,0.0002013609,0.0003364168,0.00005414099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001281264,0.0001533479,0.001871642,0.0002942583,0.00009476854,0.0004524346,0.0005075841,0.07777131,0.3505019,0.04529731,0.003927359,0.5178468],"study_design_scores_gemma":[0.0001306135,0.0004433758,0.001186771,0.00004078566,0.00006178387,0.0006474631,0.00003536983,0.8504014,0.1262996,0.01117409,0.009495899,0.00008280347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0840733,0.0006148983,0.9121799,0.0001408276,0.0000730167,0.00007378959,0.00004247357,0.0007976245,0.002004056],"genre_scores_gemma":[0.7246757,0.0001906242,0.2728714,0.0001124433,0.00007609026,0.00008564446,0.00005450335,0.00002347632,0.001910031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001348754,"threshold_uncertainty_score":0.004512072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09521289777611618,"score_gpt":0.3246102910745373,"score_spread":0.2293973932984211,"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."}}