{"id":"W2027636718","doi":"10.1007/s11277-006-9137-3","title":"Outage Probability with Correlated Lognormal Interferers using Log Shifted Gamma Approximation","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Log-normal distribution; Interference (communication); Range (aeronautics); Statistics; Noise (video); Computation; Mathematics; Computer science; Random variable; Statistical physics; Applied mathematics; Algorithm; Physics; Telecommunications; Channel (broadcasting)","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":[0.0008318762,0.0003184663,0.0003359352,0.0002734405,0.000972071,0.000411923,0.004782298,0.0001872683,0.00002943914],"category_scores_gemma":[0.00004484904,0.0002995542,0.0001140449,0.001506325,0.000784969,0.001095597,0.001778958,0.001006329,0.00003550743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004118545,"about_ca_system_score_gemma":0.000357792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007942077,"about_ca_topic_score_gemma":0.0009015772,"domain_scores_codex":[0.9967168,0.0008651082,0.0006133359,0.0005542799,0.0006614461,0.0005890237],"domain_scores_gemma":[0.9944577,0.0005414707,0.0003293901,0.003927983,0.0005899127,0.0001535603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004244729,0.00449175,0.05722003,0.0002711988,0.0004272386,0.0000322431,0.01097035,0.03304422,0.007843921,0.8261206,0.001192206,0.05796182],"study_design_scores_gemma":[0.0006513466,0.00007645632,0.008931345,0.0001095861,0.00001855646,0.00005232856,0.0002017592,0.9869095,0.0002226775,0.001874753,0.0005634133,0.0003882837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4122378,0.0004184761,0.5770824,0.003771956,0.00006722206,0.0008779241,0.00001791968,0.0005645815,0.004961763],"genre_scores_gemma":[0.9062479,0.00004371654,0.09306862,0.00008284639,0.00003460172,0.0001492811,0.0001786052,0.00003390921,0.0001605644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9538653,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05230715569329771,"score_gpt":0.283161829474717,"score_spread":0.2308546737814193,"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."}}