{"id":"W1518236970","doi":"10.1109/pacrim.2005.1517342","title":"Near-optimal low-complexity detection for space-division multiple access wireless systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Detector; Orthogonal frequency-division multiplexing; Space-division multiple access; Computer science; Algorithm; Computational complexity theory; Wireless; Division (mathematics); Detection theory; Electronic engineering; Mathematics; Telecommunications; Telecommunications link; Engineering; Arithmetic","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":[0.0009595156,0.0006461759,0.0008097921,0.0005681628,0.0003842628,0.001022117,0.0006042614,0.0009577337,0.001488852],"category_scores_gemma":[0.005384552,0.000509372,0.000316092,0.0006368145,0.0009762481,0.001351894,0.001142452,0.001040011,0.0007959293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007065224,"about_ca_system_score_gemma":0.001078102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000515571,"about_ca_topic_score_gemma":0.0009640575,"domain_scores_codex":[0.9986021,0.0004512529,0.00005839822,0.0001351461,0.0006760343,0.0000770794],"domain_scores_gemma":[0.9979249,0.001306557,0.0001932792,0.0001729313,0.0003460123,0.00005623652],"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":[0.000439629,0.0001262913,0.001235054,0.0004139169,0.0001241493,0.0002673014,0.0002040095,0.3707883,0.0867446,0.216669,0.006645998,0.3163417],"study_design_scores_gemma":[0.0000234983,0.0000945148,0.0001789733,0.00001345739,0.00000935336,0.0002030158,0.00001233328,0.9539648,0.01274925,0.03012097,0.002604119,0.00002582388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005475708,0.0003334627,0.9930559,0.0001328485,0.00002921233,0.00001171596,0.00002360694,0.0002490851,0.0006885118],"genre_scores_gemma":[0.3736654,0.0008049045,0.6221586,0.0002891291,0.0001698281,0.0000901075,0.0001809594,0.00008169255,0.002559395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001488852,"threshold_uncertainty_score":0.005126238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278611475448254,"score_gpt":0.2891735080313408,"score_spread":0.2563873932768583,"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."}}