{"id":"W4396872883","doi":"10.1364/jocn.509963","title":"Cost dynamics of converged optical-wireless networks: enabling low-latency xRANs through a reconfigurable hybrid split","year":2024,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Toronto Metropolitan University","keywords":"Reconfigurability; Computer network; Computer science; Wireless network; Latency (audio); Wireless; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008741087,0.00020807,0.0005295464,0.0001259487,0.0001772173,0.0001362013,0.0008272673,0.0001123228,0.00002543937],"category_scores_gemma":[0.00003220394,0.0001975345,0.0001645385,0.000476085,0.0002390579,0.0003981057,0.0001619459,0.001030038,0.000003266412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001842039,"about_ca_system_score_gemma":0.00006498475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009421507,"about_ca_topic_score_gemma":0.00002108824,"domain_scores_codex":[0.9980118,0.0001115914,0.001205246,0.0001415477,0.000209711,0.0003201285],"domain_scores_gemma":[0.9970114,0.001397385,0.0002147914,0.001008428,0.0002287528,0.0001392099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001290014,0.0003113844,0.0005611544,0.001084863,0.001296062,0.00006928945,0.002164411,0.173382,0.002783033,0.1165871,0.0006120648,0.7010196],"study_design_scores_gemma":[0.000319006,0.00005503418,0.00002702053,0.001771456,0.00009616488,0.000181671,0.0004331875,0.9735623,0.0002748505,0.001283065,0.02178058,0.0002156489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05985886,0.1409437,0.7638626,0.001489542,0.001909047,0.0006961294,0.00002287728,0.0002721996,0.03094503],"genre_scores_gemma":[0.9325371,0.05350103,0.01368068,0.00002271761,0.0001457168,0.00001477228,0.00001583237,0.00005038562,0.00003173662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8726783,"threshold_uncertainty_score":0.8055223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711411129386315,"score_gpt":0.285296297354248,"score_spread":0.2481821860603848,"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."}}