{"id":"W2158656009","doi":"10.1109/rws.2009.4957312","title":"Impact of MIMO channel models on outage capacity","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"MIMO; Channel (broadcasting); Channel capacity; Spatial correlation; Computer science; Antenna (radio); Electronic engineering; Coupling (piping); Antenna array; Telecommunications; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003374943,0.00009616953,0.000131762,0.00006219751,0.00001046789,0.000004319661,0.00005288879,0.00004847026,0.00002047749],"category_scores_gemma":[0.000007062773,0.00008164564,0.0000563279,0.00008843428,0.000005456962,0.0001645131,0.000002691169,0.00005293001,0.00001141781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007128398,"about_ca_system_score_gemma":0.000003565263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002558848,"about_ca_topic_score_gemma":0.000003190772,"domain_scores_codex":[0.99959,0.000005482976,0.000139007,0.00007786247,0.00006038372,0.0001272954],"domain_scores_gemma":[0.9997374,0.000009482806,0.00002116681,0.0001642988,0.00002737668,0.00004022263],"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":[0.000003562097,0.00001549756,0.000009589372,0.000007576128,0.000009109355,3.453044e-7,0.0001497156,0.9948523,0.003566722,0.0008414142,0.0001683444,0.000375799],"study_design_scores_gemma":[0.0001787803,0.0001091733,0.0004109086,0.00001999166,0.000002727073,0.000001436931,0.00001253157,0.9914481,0.006015821,0.001690728,0.000002935023,0.0001068546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1263918,0.00002471626,0.8359754,0.000006735024,0.00005876361,0.0001309559,0.00001143925,0.0002453401,0.03715488],"genre_scores_gemma":[0.9963794,0.000008260015,0.003401776,0.00001069313,0.00002589996,0.000002045321,0.000003615394,0.0000133624,0.0001549813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8699876,"threshold_uncertainty_score":0.3329413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239787539232105,"score_gpt":0.245211235619415,"score_spread":0.2212324816962045,"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."}}