{"id":"W2041661515","doi":"10.1109/iwow.2013.6777786","title":"Optical communications over lognormal fading channels using OOK","year":2013,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fading; Demodulation; Bit error rate; Log-normal distribution; Keying; Signal-to-noise ratio (imaging); Computer science; Electronic engineering; Optical wireless; Channel (broadcasting); Optical communication; Telecommunications; Communications system; Statistics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140851,0.0007803824,0.0004450837,0.0004053183,0.0005553928,0.0007737999,0.0003712991,0.0005191257,0.0005945179],"category_scores_gemma":[0.001408086,0.000176875,0.0002549289,0.0006675756,0.001352158,0.001441147,0.0006035572,0.0003631311,0.0001284055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000576332,"about_ca_system_score_gemma":0.0005358196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005874938,"about_ca_topic_score_gemma":0.005367235,"domain_scores_codex":[0.999523,0.000124479,0.00001227393,0.00005400419,0.0001407867,0.0001453174],"domain_scores_gemma":[0.9988807,0.0006036068,0.0002140503,0.0001050278,0.0001558924,0.00004066169],"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":[0.0001474939,0.0000635552,0.003267091,0.00008412295,0.00002969427,0.0004652905,0.00008307442,0.9253792,0.01197337,0.04778894,0.0003882718,0.01032993],"study_design_scores_gemma":[0.00001142703,0.00005763887,0.0006838297,0.000007817404,0.00001511667,0.00009549157,0.00004452365,0.9906052,0.001793625,0.006213415,0.0004535318,0.00001840944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7106086,0.001141061,0.2742954,0.0002580828,0.00007733248,0.00005620309,0.0001506733,0.0001604102,0.01325217],"genre_scores_gemma":[0.9875625,0.0007384209,0.01046328,0.00003048241,0.00004115814,0.00001869251,0.00002636358,0.00001053379,0.001108449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005874938,"threshold_uncertainty_score":0.0116815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790876505315233,"score_gpt":0.2628999945993369,"score_spread":0.2249912295461846,"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."}}