{"id":"W2593406248","doi":"","title":"MIMO channel model for different antenna elements and arrays","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"MIMO; Channel (broadcasting); Computer science; Radio channel; Electronic engineering; Antenna (radio); Wireless; Precoding; 3G MIMO; Multi-user MIMO; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005733959,0.0002755429,0.0002607617,0.0003453077,0.0001110141,0.00004623334,0.0002040401,0.0002039286,0.000005764188],"category_scores_gemma":[0.000005061121,0.0002583201,0.00005723688,0.0001672991,0.0001307243,0.00003636937,0.00004198555,0.0002077322,0.000004245554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004042384,"about_ca_system_score_gemma":0.000004503609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001901801,"about_ca_topic_score_gemma":0.00001240766,"domain_scores_codex":[0.9988317,0.000003836914,0.0003046004,0.0003407997,0.0001410613,0.0003779949],"domain_scores_gemma":[0.9996641,0.00002977505,0.0000566063,0.0001461198,0.00005280234,0.00005057696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006153864,0.00009789469,0.0002918434,0.00002374004,0.0001091952,0.000002583954,0.00002346143,0.0003137169,0.928779,0.06935623,0.0001919591,0.0007488645],"study_design_scores_gemma":[0.000849269,0.0002140141,0.0002425511,0.00002271349,0.00005699506,0.00001670074,0.00003735823,0.9625392,0.009227506,0.02622791,0.0002632805,0.0003024817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5242617,0.0005746552,0.4690435,0.002915732,0.0001446996,0.0004459667,0.000068996,0.0005838489,0.001960915],"genre_scores_gemma":[0.9962079,0.0007792996,0.001848232,0.0001710838,0.00008093347,0.0001222997,0.00005313666,0.00003922348,0.0006978926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9622255,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005904344477188759,"score_gpt":0.199446683782865,"score_spread":0.1935423393056763,"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."}}