{"id":"W3166982373","doi":"10.1109/vtc2021-spring51267.2021.9448714","title":"Adaptive Minimization of Direct Sunlight Noise on V2V-VLC Receivers","year":2021,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Visible light communication; Sunlight; Minification; Computer science; Noise (video); Electronic engineering; Physics; Light-emitting diode; Optoelectronics; Engineering; Artificial intelligence; Optics","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":[0.00002962113,0.00007718534,0.000128123,0.00006351222,0.00001881368,0.000007474548,0.0001544931,0.00007895417,0.0001660279],"category_scores_gemma":[0.0001347679,0.000074633,0.00003500583,0.0002838878,0.00004325994,0.00005954608,0.00004956003,0.00009449695,0.00004429823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004384761,"about_ca_system_score_gemma":0.00001076155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004293011,"about_ca_topic_score_gemma":0.00001008868,"domain_scores_codex":[0.9995556,0.00002034304,0.0001432455,0.00009571986,0.00009266535,0.00009239429],"domain_scores_gemma":[0.9993197,0.0001491567,0.00001967329,0.0004107697,0.00007941954,0.00002127957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001057731,0.0006676237,0.001540815,0.000217003,0.0005159216,0.0000315098,0.001078463,0.2670064,0.07277741,0.3322615,0.0272102,0.2965874],"study_design_scores_gemma":[0.0002169985,0.00005052933,0.001774869,0.00005417787,0.000009885577,7.708803e-7,0.0005778939,0.05412181,0.9374663,0.0003739276,0.005178534,0.0001743511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1344731,0.001062702,0.009543962,0.001213268,0.000283115,0.0002075009,0.00002690289,0.002315229,0.8508742],"genre_scores_gemma":[0.9854457,0.0007670778,0.013231,0.00002028936,0.000004950175,0.000007400151,0.0000111297,0.00001420538,0.0004982528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8646889,"threshold_uncertainty_score":0.3043445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406916175380268,"score_gpt":0.2089706853647179,"score_spread":0.1949015236109153,"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."}}