{"id":"W232311321","doi":"","title":"Upper and Lower Bounds on the Capacity of Wireless Optical Intensity Channels Corrupted by Gaussian Noise","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Disjoint sets; Gaussian noise; Optical wireless; Channel capacity; Upper and lower bounds; Bandwidth (computing); Channel (broadcasting); Noise spectral density; Shot noise; Gaussian; Shannon–Hartley theorem; Noise (video); Additive white Gaussian noise; White noise; Optics; Physics; Algorithm; Telecommunications; Discrete mathematics; Mathematical analysis; Computer science; Wireless; Noise figure; Quantum mechanics; Statistics; Detector","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":[0.005413412,0.002306943,0.001760103,0.003017582,0.001282655,0.004171563,0.002717595,0.002130705,0.006227699],"category_scores_gemma":[0.04533524,0.0008357323,0.0008517425,0.002076438,0.005573624,0.006936227,0.003963085,0.003761434,0.001113336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003720146,"about_ca_system_score_gemma":0.001537793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00265799,"about_ca_topic_score_gemma":0.001902021,"domain_scores_codex":[0.9956332,0.001019702,0.0001392369,0.0004459031,0.001467353,0.001294655],"domain_scores_gemma":[0.9452497,0.04769965,0.00154252,0.002365516,0.002506041,0.0006365516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003796193,0.00008865492,0.0009208177,0.00044918,0.00008713135,0.0002509824,0.0003195775,0.6890109,0.005810233,0.2712894,0.003348741,0.02804478],"study_design_scores_gemma":[0.00001546523,0.00005698726,0.0004376378,0.000207467,0.00003037596,0.0001438357,0.00009263655,0.8625049,0.003442057,0.1310506,0.001960369,0.0000577083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09564417,0.009351277,0.8462751,0.002466303,0.0002626571,0.00009302537,0.000877704,0.001028149,0.04400159],"genre_scores_gemma":[0.9326149,0.006624342,0.05221969,0.0006400791,0.0005463852,0.0004345675,0.0007156557,0.0003657248,0.005838698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006227699,"threshold_uncertainty_score":0.02862918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250357765838995,"score_gpt":0.2016145399259748,"score_spread":0.1791109622675848,"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."}}