{"id":"W2952009371","doi":"10.48550/arxiv.1311.3387","title":"Performance of General STCs over Spatially Correlated MIMO Single-keyhole Channels","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Transmission (telecommunications); Eigenvalues and eigenvectors; Matrix (chemical analysis); Spatial correlation; Mathematics; Physics; Computer science; Telecommunications; Statistics; Channel (broadcasting); Materials science","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":[0.001887476,0.001082411,0.0008941291,0.0005914388,0.0005702961,0.001091871,0.0005590879,0.0008371641,0.002125217],"category_scores_gemma":[0.006837953,0.0002492385,0.000360823,0.0009509307,0.002058077,0.001613109,0.001800231,0.0006534221,0.0002436843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008239077,"about_ca_system_score_gemma":0.001251475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398313,"about_ca_topic_score_gemma":0.002161323,"domain_scores_codex":[0.9985229,0.0004311428,0.00007838601,0.0001883432,0.0003186515,0.0004605262],"domain_scores_gemma":[0.9914101,0.005158492,0.001161514,0.0007683921,0.001149082,0.0003524514],"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":[0.001822996,0.00006437374,0.00411289,0.0002362702,0.0001442248,0.0005278377,0.0002133615,0.8937752,0.03758816,0.04255655,0.0009379611,0.01802025],"study_design_scores_gemma":[0.00005583122,0.0004996028,0.002791745,0.00005194759,0.00007131516,0.0005438678,0.0001742076,0.9497574,0.0271578,0.01831218,0.000505456,0.00007871902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468977,0.0008212872,0.1384103,0.0003936434,0.00006927262,0.00005511203,0.0003848728,0.0003824038,0.01258545],"genre_scores_gemma":[0.9964451,0.0001791281,0.002750804,0.00003156882,0.00001305551,0.000009437133,0.00005169281,0.00000972001,0.0005094643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002398313,"threshold_uncertainty_score":0.00998199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187325080575797,"score_gpt":0.1774939560852449,"score_spread":0.135620705279487,"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."}}