{"id":"W2783230096","doi":"10.1109/glocom.2017.8254648","title":"Delay-QoS Aware Adaptive Resource Allocations for Free Space Optical Fronthaul Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Resource allocation; Transmitter power output; Optimization problem; Computer network; Mathematical optimization; Algorithm; Mathematics; Transmitter; Channel (broadcasting)","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":[0.0001096419,0.0001610836,0.0001876913,0.00004671025,0.0003906729,0.0001310686,0.001537774,0.0002286224,0.00003189166],"category_scores_gemma":[0.0004540886,0.0001559774,0.00007408484,0.0000478576,0.000221558,0.0001839771,0.0004342622,0.0002935186,0.00003421599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006996452,"about_ca_system_score_gemma":0.00001126319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002098624,"about_ca_topic_score_gemma":0.0001687336,"domain_scores_codex":[0.9991971,0.000009684946,0.0001938811,0.0001837917,0.000103749,0.0003118201],"domain_scores_gemma":[0.9971758,0.000316367,0.00004283595,0.002296435,0.00008609156,0.0000824559],"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":[0.00004312737,0.00009907181,0.0002530555,0.00003606933,0.0002274055,0.000004193761,0.0001148421,0.1551945,0.0001990973,0.65855,0.1314946,0.05378412],"study_design_scores_gemma":[0.0004383333,0.00005590209,0.001139346,0.00003176755,0.00002149183,0.000002206344,0.0004533106,0.9611241,0.001793481,0.002667978,0.03198132,0.0002907469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002140634,0.0004779983,0.9376084,0.00542573,0.0001569223,0.0004332362,0.00001942413,0.00158609,0.05215154],"genre_scores_gemma":[0.8954186,0.0001049859,0.1034518,0.00003803857,0.00008142333,0.0001960618,0.00001327105,0.00004203839,0.0006537017],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.893278,"threshold_uncertainty_score":0.6360572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429137740735965,"score_gpt":0.2481828933424399,"score_spread":0.2238915159350802,"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."}}