{"id":"W4399665967","doi":"10.1109/mnet.2024.3414398","title":"Streamlined Transmission: A Semantic-Aware XR Deployment Framework Enhanced by Generative AI","year":2024,"lang":"en","type":"article","venue":"IEEE Network","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software deployment; Transmission (telecommunications); Generative grammar; Computer network; Artificial intelligence; Telecommunications; Software 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000254023,0.0002979778,0.0002804071,0.00005611296,0.0003090952,0.000496028,0.0006582529,0.0001775596,0.000010037],"category_scores_gemma":[0.000006836307,0.000257511,0.0001483142,0.0008201534,0.00003601428,0.0002732827,0.0001032882,0.0004883386,0.0001331133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007025898,"about_ca_system_score_gemma":0.0001248919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009252187,"about_ca_topic_score_gemma":0.000001485315,"domain_scores_codex":[0.9977918,0.000110096,0.0003504936,0.0007240382,0.0003558444,0.0006677289],"domain_scores_gemma":[0.9989466,0.0002693335,0.0000514385,0.0004729639,0.00006365974,0.0001959956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001609179,0.00006074946,0.00002201586,0.00005624786,0.000103204,0.00007070892,0.001960221,0.006998589,0.001431529,0.0006670976,0.8293471,0.1592665],"study_design_scores_gemma":[0.0003443594,0.0003169462,0.00003324564,0.00140227,0.00004782967,0.0000181712,0.00001320948,0.5462907,0.03617122,0.02138788,0.3931031,0.0008710914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005098802,0.002536478,0.9422492,0.002678862,0.04601011,0.0002161826,6.94154e-7,0.0007518156,0.000457842],"genre_scores_gemma":[0.8060143,0.0002928713,0.0862485,0.00579567,0.09872466,0.0001013257,0.0000278009,0.0001417436,0.002653112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8560007,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163705861510888,"score_gpt":0.2657755330776223,"score_spread":0.2541384744625134,"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."}}