{"id":"W2111431392","doi":"","title":"Capacity Bounds for Power- and Band-Limited Wireless Infrared Channels Corrupted by Gaussian Noise","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Gaussian noise; Bandwidth (computing); Disjoint sets; Upper and lower bounds; Channel capacity; Shot noise; Channel (broadcasting); Noise spectral density; Additive white Gaussian noise; Gaussian; Noise (video); White noise; Telecommunications; Algorithm; Discrete mathematics; Physics; Mathematical analysis; Computer science; Noise figure; Statistics; Quantum mechanics; 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":[0.005679664,0.002069824,0.001771758,0.002961863,0.001359962,0.004020076,0.002717777,0.001702592,0.005897277],"category_scores_gemma":[0.04060743,0.0006550227,0.0008192006,0.002672934,0.005272399,0.006179171,0.003918726,0.003478882,0.000959229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004458002,"about_ca_system_score_gemma":0.001723763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004002804,"about_ca_topic_score_gemma":0.002528301,"domain_scores_codex":[0.9959053,0.001110486,0.0001239682,0.0003467554,0.001341993,0.001171497],"domain_scores_gemma":[0.9370131,0.05495895,0.002103814,0.002180438,0.003059794,0.0006839628],"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":[0.000369878,0.00007058302,0.0007763863,0.0004240114,0.00008580116,0.0002152641,0.0004066677,0.6660539,0.004251373,0.2998722,0.004130697,0.0233432],"study_design_scores_gemma":[0.00001510039,0.00005330571,0.0003792733,0.0002020572,0.00004040153,0.0001435196,0.0001160038,0.8169457,0.002641357,0.1774843,0.001914412,0.00006467639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07746698,0.009443457,0.8679576,0.002434444,0.000243985,0.0001167051,0.001053793,0.0009711169,0.0403118],"genre_scores_gemma":[0.9384623,0.006867737,0.04619233,0.0006715463,0.0005127146,0.0005039273,0.0008045711,0.0003201288,0.005664859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005897277,"threshold_uncertainty_score":0.03234518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064333748830927,"score_gpt":0.2114036269076247,"score_spread":0.1907602894193155,"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."}}