{"id":"W2154465178","doi":"10.1109/icc.2008.264","title":"MIMO Optical Wireless Channels Using Halftoning","year":2008,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"MIMO; Optical wireless; Computer science; Spatial multiplexing; Transmitter; Channel (broadcasting); Pixel; Frame (networking); Holography; Wireless; Electronic engineering; Binary number; Channel capacity; Spatial correlation; Optical performance monitoring; Telecommunications; Optics; Engineering; Physics; Computer vision; Mathematics","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":[0.0003300055,0.0003421233,0.0002975724,0.000278487,0.0003139084,0.0006872421,0.0003324093,0.0004069504,0.001942135],"category_scores_gemma":[0.001115068,0.0001932139,0.0001519175,0.0003598797,0.0005475588,0.001250485,0.0005453684,0.0002366838,0.0002350047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851932,"about_ca_system_score_gemma":0.0002226965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007447951,"about_ca_topic_score_gemma":0.0007787622,"domain_scores_codex":[0.9996853,0.00007306261,0.000009473349,0.00005083881,0.0001255528,0.00005577011],"domain_scores_gemma":[0.998513,0.0009610039,0.0001689979,0.0001322403,0.0001878994,0.00003669458],"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":[0.0006667347,0.0001997877,0.003677896,0.0003490559,0.00007542042,0.0006046597,0.0003353529,0.4435287,0.3725793,0.06614163,0.002277529,0.109564],"study_design_scores_gemma":[0.00004053112,0.0003342842,0.001477864,0.00002659001,0.0000303074,0.0003830007,0.00007485461,0.8149403,0.1699017,0.007036921,0.005670815,0.00008278983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6276131,0.001154936,0.3535382,0.0002560132,0.00007946387,0.00006640969,0.0001935066,0.0007568032,0.01634154],"genre_scores_gemma":[0.9851483,0.0002698267,0.01250451,0.00003276162,0.00001869751,0.00002574784,0.00004279645,0.00001233795,0.001945036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001942135,"threshold_uncertainty_score":0.006497085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156135534408448,"score_gpt":0.2421946389993141,"score_spread":0.2006332836552296,"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."}}