{"id":"W4410993231","doi":"10.1364/ofc.2025.m3z.14","title":"Open-Source, Standards-Based, and API-Driven SDN Control and Service Management of F5G-Advanced Optical Access and Transport Networks, Enabling Quality-on-Demand for Cloud Immersive Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Cloud computing; Computer science; Quality of service; Computer network; On demand; Access control; Multimedia; Operating system","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":[0.0004159246,0.000178311,0.000391262,0.00007877671,0.0001402225,0.00006635562,0.0003743491,0.0000677524,0.000004719759],"category_scores_gemma":[0.000006630159,0.0001800676,0.00002910157,0.0002418164,0.00006739223,0.0001750646,0.000139346,0.000112649,1.339429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005612503,"about_ca_system_score_gemma":0.00002280404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002231393,"about_ca_topic_score_gemma":0.00007301495,"domain_scores_codex":[0.9989068,0.00003290384,0.0004370506,0.0003004487,0.0001292306,0.0001935905],"domain_scores_gemma":[0.9987279,0.0004892609,0.00008090152,0.0004653961,0.0001511923,0.00008539994],"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":[0.0009676223,0.0001199093,0.001630258,0.004204551,0.0007585814,0.000001307489,0.0004258435,0.8325046,0.001288091,0.1032287,0.0001297496,0.05474074],"study_design_scores_gemma":[0.02499723,0.0001817607,0.007108693,0.001456097,0.0005295168,0.000004546995,0.004521822,0.7012837,0.003691561,0.001710788,0.2533652,0.001149053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01654408,0.001332428,0.9733595,0.0004162123,0.00005473643,0.002703591,0.0001119022,0.00006725789,0.005410254],"genre_scores_gemma":[0.9899445,0.001126018,0.007631976,0.0002915221,0.00001377479,0.0008156027,0.00002901201,0.00002771794,0.0001199133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9734004,"threshold_uncertainty_score":0.7342942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710136354676424,"score_gpt":0.3299900739850608,"score_spread":0.3128887104382965,"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."}}