{"id":"W2536983918","doi":"10.1109/rawcon.2004.1389096","title":"Simulation of the achievable indoor MIMO capacity by using an adaptive phased-array","year":2005,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Beamforming; Phased array; Channel (broadcasting); Computer science; Adaptive beamformer; Ray tracing (physics); Lambda; Electronic engineering; Dipole antenna; Channel capacity; Topology (electrical circuits); Acoustics; Physics; Telecommunications; Optics; Engineering; Electrical engineering; Antenna (radio)","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":[0.0003236253,0.0005390227,0.0003300114,0.0002709921,0.0003097765,0.000424486,0.0005031675,0.0006912311,0.00196428],"category_scores_gemma":[0.001615357,0.0002602805,0.0003822232,0.0005768514,0.0005242007,0.000471961,0.0003341015,0.000473374,0.0002469429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006851609,"about_ca_system_score_gemma":0.0005483201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01264177,"about_ca_topic_score_gemma":0.007757589,"domain_scores_codex":[0.9997948,0.0000708438,0.000006045384,0.00002101748,0.00004572637,0.0000614922],"domain_scores_gemma":[0.9989292,0.0007231496,0.00007883661,0.00005893293,0.000165644,0.00004419559],"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":[0.00002392684,0.000006774489,0.0005573609,0.000006961846,0.000005172214,0.00002666454,0.00001045747,0.997829,0.0003699547,0.0005456706,0.00007080012,0.0005472093],"study_design_scores_gemma":[0.000006525493,0.00001756169,0.0002273613,0.000001821984,0.000003920289,0.00001053897,0.000012441,0.9984786,0.0008868239,0.0002708527,0.00007912162,0.000004423453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673818,0.0001552675,0.1073697,0.0003200855,0.00003002987,0.00004023564,0.0007918237,0.000853913,0.02305715],"genre_scores_gemma":[0.9938568,0.00004341979,0.005195955,0.00002060876,0.000003487456,0.00002096482,0.000124543,0.00002071619,0.0007136365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01264177,"threshold_uncertainty_score":0.02513635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05477722765257381,"score_gpt":0.2550648974620087,"score_spread":0.2002876698094349,"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."}}