{"id":"W4388763607","doi":"10.1364/ao.502663","title":"IRS-assisted vehicular visible light communications systems: channel modeling and performance analysis","year":2023,"lang":"en","type":"article","venue":"Applied Optics","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Visible light communication; Optics; Path loss; Computer science; Aperture (computer memory); Communications system; Non-line-of-sight propagation; Channel (broadcasting); Telecommunications; Link budget; Physics; Radiation; Light-emitting diode; Wireless; Acoustics","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":[0.0006380611,0.001314704,0.0008923409,0.0007931813,0.0005853645,0.001178965,0.001103582,0.00150884,0.002430473],"category_scores_gemma":[0.001433141,0.0004441316,0.0007892016,0.001477301,0.0007505757,0.001060253,0.0007926214,0.001246752,0.001348638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684129,"about_ca_system_score_gemma":0.001190765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145453,"about_ca_topic_score_gemma":0.01184759,"domain_scores_codex":[0.9993063,0.0001658217,0.00002333007,0.00009399455,0.0002400095,0.0001704546],"domain_scores_gemma":[0.9989287,0.0004033579,0.0001607686,0.00007587195,0.000406024,0.00002517136],"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":[0.00004396386,0.00004962094,0.001060154,0.0001081844,0.00002471845,0.0001397647,0.00006863597,0.9800982,0.003175336,0.005694025,0.00100415,0.008533235],"study_design_scores_gemma":[0.000002081483,0.00002603072,0.0003418376,0.000008286288,0.000009941611,0.00004220878,0.0000243905,0.9976171,0.000558391,0.0008730586,0.0004856202,0.00001109209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1362065,0.006472636,0.8175586,0.0009249999,0.0002108357,0.0002443091,0.002197738,0.001294555,0.03488991],"genre_scores_gemma":[0.9494229,0.005835025,0.03017625,0.0002073605,0.0002176332,0.00025414,0.0009665621,0.0001332643,0.01278687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02145453,"threshold_uncertainty_score":0.04265928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870451653406086,"score_gpt":0.2364718705966739,"score_spread":0.207767354062613,"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."}}