{"id":"W2098456673","doi":"10.1109/pacrim.1993.407295","title":"Correlated lognormal interferers and outage probabilities","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Log-normal distribution; Mathematics; Matching (statistics); Algorithm; Statistics; Computer science; Random variable; Fading; Applied mathematics; Decoding methods","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":[0.0008014598,0.0004921188,0.0003395226,0.001366246,0.0002547974,0.0009445758,0.000578097,0.000403918,0.001572393],"category_scores_gemma":[0.01095308,0.0002127096,0.0003085439,0.001228296,0.0005826004,0.001240698,0.0006842007,0.0004498944,0.0004132594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005838959,"about_ca_system_score_gemma":0.0004818132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806337,"about_ca_topic_score_gemma":0.002908492,"domain_scores_codex":[0.999422,0.0001436811,0.00002504588,0.00008872322,0.0002656621,0.00005492662],"domain_scores_gemma":[0.9968701,0.002120512,0.0003630461,0.0002627647,0.0003183513,0.00006522935],"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":[0.00009791596,0.00002160954,0.00664165,0.00005401114,0.00003825481,0.0003212066,0.0001242117,0.8198463,0.004017005,0.07426026,0.001273102,0.09330456],"study_design_scores_gemma":[0.000005588221,0.00001171396,0.001484481,0.00001257796,0.000007947715,0.0001887856,0.00002113608,0.976959,0.002027557,0.01855407,0.0007142198,0.00001297832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04767839,0.0002392458,0.9477145,0.00008397548,0.00002075077,0.00002284636,0.00006339335,0.0005083241,0.003668553],"genre_scores_gemma":[0.8047832,0.0007122331,0.1907156,0.00008090247,0.00006194631,0.00008020049,0.0001753227,0.0001207777,0.003269811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002806337,"threshold_uncertainty_score":0.005580068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164429327629669,"score_gpt":0.1648302354569355,"score_spread":0.1531859421806389,"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."}}