{"id":"W3103537411","doi":"","title":"Non-Orthogonal Multiple Access for Visible Light Communications","year":2016,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":387,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Visible light communication; Noma; Telecommunications link; Computer science; Throughput; Bandwidth (computing); Computer network; Transmission (telecommunications); Electronic engineering; Scheme (mathematics); Channel (broadcasting); Wireless; Telecommunications; Light-emitting diode; Electrical engineering; Engineering; 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":[0.00007653131,0.00009832362,0.0001156269,0.00007914686,0.0000929693,0.00004385105,0.001521957,0.00008856349,0.00006551863],"category_scores_gemma":[0.0001211812,0.00006842896,0.0000524049,0.0001238159,0.00008200198,0.0002792367,0.000429443,0.00007882324,0.0001119102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003982366,"about_ca_system_score_gemma":0.000009593257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000253694,"about_ca_topic_score_gemma":0.00004760989,"domain_scores_codex":[0.9994488,0.000006067269,0.0001916845,0.0001006289,0.00006350581,0.0001893469],"domain_scores_gemma":[0.9979367,0.0004673823,0.00001952237,0.001464903,0.00006990608,0.00004159964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002322635,0.0002570086,0.01323631,0.0001218375,0.0001867896,4.372131e-7,0.0000958271,0.000390352,0.1522182,0.3699015,0.04010019,0.4234682],"study_design_scores_gemma":[0.001735455,0.00006799839,0.008868217,0.0001184092,0.00001775711,0.000002420988,0.00008372505,0.1507766,0.4659205,0.0172002,0.3545009,0.0007078906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0635206,0.0009691234,0.8110818,0.0280574,0.0002752133,0.001162718,0.00008170365,0.005986076,0.08886531],"genre_scores_gemma":[0.961502,0.0006246168,0.03711987,0.00004275062,0.00001252416,0.0002957337,0.000007597896,0.00002623143,0.0003686839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8979814,"threshold_uncertainty_score":0.28282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03635422274057844,"score_gpt":0.2930718311712506,"score_spread":0.2567176084306722,"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."}}