{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002188229,0.0001094961,0.000149528,0.0001939642,0.0001417889,0.00005569418,0.0005546337,0.0001169226,0.00004001102],"category_scores_gemma":[0.00008855366,0.0001026429,0.00003651639,0.0007862299,0.00003023179,0.0001131024,0.0002640693,0.0003661266,0.001108029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008925012,"about_ca_system_score_gemma":0.000004632033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001773408,"about_ca_topic_score_gemma":0.00001523585,"domain_scores_codex":[0.9993064,0.00005425651,0.000229942,0.00009747294,0.0001200088,0.0001919058],"domain_scores_gemma":[0.9989287,0.0001632996,0.00002814837,0.0008057904,0.00003850599,0.00003561355],"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":[0.00001892043,0.0001307789,0.01125981,0.0009949516,0.0004235223,0.00002211888,0.001104486,0.05793028,0.06312804,0.5444868,0.01674589,0.3037544],"study_design_scores_gemma":[0.0003129692,0.00002481266,0.005268379,0.0001170704,0.000009507592,0.000007097457,0.001200418,0.9248644,0.02282994,0.0002094298,0.04486195,0.0002940203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2082293,0.006743016,0.01285903,0.006632589,0.0003981908,0.0008192832,0.00001275839,0.1084358,0.65587],"genre_scores_gemma":[0.9945568,0.0008068568,0.00355268,0.000007913469,0.000005832521,0.0000566439,0.00004871265,0.00003564423,0.0009289254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8669341,"threshold_uncertainty_score":0.9996697,"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."}}