{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005042578,0.0001290973,0.00016437,0.00008765298,0.0001153205,0.00002220079,0.0003352083,0.0001283343,0.00006555946],"category_scores_gemma":[0.00003608394,0.0001247582,0.00004276348,0.0002222418,0.0001543593,0.0001431035,0.0001261372,0.0002366658,0.0001015825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005966954,"about_ca_system_score_gemma":0.000008483358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007076317,"about_ca_topic_score_gemma":0.00000128977,"domain_scores_codex":[0.9992851,0.000008347452,0.0001910655,0.0001204034,0.000122152,0.000272928],"domain_scores_gemma":[0.9993712,0.00007771188,0.00001194482,0.0004506065,0.00002824107,0.00006028441],"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":[0.00001803357,0.0003002105,0.004208474,0.0001867321,0.0002896326,0.0001922355,0.00113575,0.2178325,0.2291894,0.4472497,0.002989255,0.09640814],"study_design_scores_gemma":[0.000175751,0.0000156681,0.0002945231,0.00002821722,0.0000047809,0.00007530298,0.0001213154,0.7896383,0.207744,0.0004652808,0.001134085,0.0003027232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960801,0.0002901545,0.07140714,0.0001776822,0.0001566596,0.00008062657,5.939149e-7,0.002402192,0.02940487],"genre_scores_gemma":[0.9537907,0.0002260452,0.0457766,0.00002369452,0.00002942827,0.000009120869,0.000001472009,0.00003115478,0.0001117391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5718058,"threshold_uncertainty_score":0.5087492,"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."}}