{"id":"W2168352758","doi":"10.1109/glocom.2003.1258844","title":"Downlink MIMO multiuser detection with interference subspace rejection","year":2004,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Telecommunications link; MIMO; Computer science; Multiuser detection; Subspace topology; Interference (communication); Single antenna interference cancellation; Electronic engineering; Detector; Code division multiple access; Computer network; Algorithm; Telecommunications; Engineering; Artificial intelligence; Channel (broadcasting)","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":[0.001797633,0.0007000903,0.0009535268,0.000561963,0.0003806251,0.0008869751,0.0006397756,0.0005870442,0.0007338966],"category_scores_gemma":[0.002658215,0.0002812237,0.0005540718,0.0006622656,0.0005687363,0.0007817627,0.00106412,0.000783525,0.0005085042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586369,"about_ca_system_score_gemma":0.0003944658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005011716,"about_ca_topic_score_gemma":0.0007211459,"domain_scores_codex":[0.9980876,0.0006262052,0.00005866188,0.0001927,0.0008389135,0.0001958791],"domain_scores_gemma":[0.9982861,0.0005531256,0.0001966761,0.0003604607,0.0005051385,0.0000984611],"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":[0.001382731,0.00046043,0.008167247,0.0004361061,0.0004136931,0.0006161435,0.0003701473,0.201315,0.1965584,0.02619961,0.002001876,0.5620786],"study_design_scores_gemma":[0.000095369,0.001016216,0.0009320848,0.00002140071,0.00009847557,0.0008787782,0.00003879206,0.841367,0.1458069,0.003134374,0.006544247,0.0000663322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06281374,0.00114782,0.9320942,0.0001670529,0.00008363304,0.00006413689,0.00004496879,0.000583907,0.003000491],"genre_scores_gemma":[0.5977323,0.0005604975,0.3984795,0.0002951198,0.0001258105,0.00005586459,0.0001329665,0.00003714406,0.002580843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001797633,"threshold_uncertainty_score":0.009506881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255214168481398,"score_gpt":0.2677948728351948,"score_spread":0.2452427311503808,"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."}}