{"id":"W4385729592","doi":"10.1109/itc-egypt58155.2023.10206067","title":"Machine Learning Assisted Indoor Visible Light Communication System","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Visible light communication; Computer science; Python (programming language); MATLAB; Wireless; Support vector machine; Data transmission; MIMO; Transmission (telecommunications); Real-time computing; Light-emitting diode; Artificial intelligence; Electronic engineering; Channel (broadcasting); Computer hardware; Telecommunications; Engineering; Electrical engineering","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":[0.0002401331,0.0003675503,0.0005600343,0.0002777469,0.0003462157,0.0005129065,0.000491012,0.0003853762,0.004063152],"category_scores_gemma":[0.000459927,0.0001265425,0.0003267948,0.0002344137,0.0001608106,0.0003271947,0.0003309677,0.0004312055,0.001131449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003936232,"about_ca_system_score_gemma":0.0005501178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003516565,"about_ca_topic_score_gemma":0.002808331,"domain_scores_codex":[0.9997535,0.00004575746,0.00001123334,0.00006100108,0.00008434292,0.0000441147],"domain_scores_gemma":[0.9997721,0.00006539267,0.00002623873,0.0000247888,0.00009987837,0.00001155824],"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":[0.0002457838,0.0001757493,0.002800367,0.0001577645,0.0000588229,0.0002695993,0.00007384605,0.7573279,0.01735513,0.003349875,0.004036648,0.2141485],"study_design_scores_gemma":[0.000008197181,0.00006466888,0.0004603718,0.000005210997,0.000009193393,0.00003636591,0.000007729912,0.9943658,0.003310435,0.0003925497,0.001332076,0.000007401427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06951699,0.0003919988,0.903304,0.0002592795,0.0001847181,0.00009540025,0.0002354548,0.006242889,0.01976922],"genre_scores_gemma":[0.9566038,0.0001366898,0.03510512,0.00007469315,0.00002605647,0.00008898076,0.0001591682,0.00003811819,0.00776749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004063152,"threshold_uncertainty_score":0.0135926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769353762630419,"score_gpt":0.23477428563032,"score_spread":0.2170807480040158,"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."}}