{"id":"W1969908120","doi":"10.1109/wcsp.2014.6992032","title":"Downlink scheduling in visible light communications","year":2014,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Army Research Office","keywords":"Visible light communication; Computer science; Scheduling (production processes); Telecommunications link; Wireless; Computer network; Throughput; Maximum throughput scheduling; Fairness measure; Real-time computing; Light-emitting diode; Distributed computing; Dynamic priority scheduling; Round-robin scheduling; Telecommunications; Quality of service; Mathematical optimization; 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":[0.001645558,0.0005311587,0.0009073988,0.0006233479,0.00154924,0.001858652,0.0008162281,0.0006190708,0.001858435],"category_scores_gemma":[0.003495618,0.000364967,0.0002813592,0.001220106,0.0006600422,0.001117914,0.0007040016,0.000683921,0.0004501907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058046,"about_ca_system_score_gemma":0.002653017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009791917,"about_ca_topic_score_gemma":0.01025594,"domain_scores_codex":[0.9987992,0.0004450486,0.00004478832,0.0001961012,0.0002304181,0.0002844564],"domain_scores_gemma":[0.9977322,0.001122167,0.000240107,0.0002239451,0.0004958465,0.0001856564],"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":[0.0004791168,0.0001540772,0.001704305,0.0002079454,0.00004350716,0.0002901172,0.0002076252,0.8158638,0.006494256,0.05741559,0.006272962,0.1108666],"study_design_scores_gemma":[0.00002713144,0.00006338926,0.0002127684,0.00000943403,0.00001063901,0.00007189839,0.00006631288,0.9861323,0.001683004,0.009470634,0.002238949,0.00001355767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07841019,0.002822517,0.9042245,0.0006978084,0.000396542,0.0001256821,0.0001694894,0.0004708889,0.01268248],"genre_scores_gemma":[0.9317812,0.0009455861,0.06288949,0.000141439,0.0002461912,0.00006011694,0.00009434193,0.00006501369,0.003776622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009791917,"threshold_uncertainty_score":0.01946986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533887806266902,"score_gpt":0.2440717073716015,"score_spread":0.2287328293089325,"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."}}