{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413519,0.0006981,0.0005523523,0.0007550005,0.0005283814,0.001926541,0.002206998,0.0009704705,0.003119331],"category_scores_gemma":[0.002717406,0.0003858774,0.000793057,0.0007373341,0.001289704,0.002821129,0.003076889,0.001590319,0.0007949012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000762194,"about_ca_system_score_gemma":0.000852256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002829054,"about_ca_topic_score_gemma":0.002712228,"domain_scores_codex":[0.9991981,0.000262868,0.0000460331,0.0001644545,0.0002469244,0.00008168978],"domain_scores_gemma":[0.9993061,0.0003057838,0.00005130982,0.0001708626,0.00009963445,0.00006629886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002989061,0.0002780261,0.001664968,0.0003822338,0.0001110139,0.001214019,0.002994319,0.3035791,0.04113329,0.3163453,0.01082619,0.3211727],"study_design_scores_gemma":[0.00002048809,0.00007584068,0.0002350014,0.00002657026,0.00002702728,0.0002193824,0.0002427784,0.9299457,0.005761531,0.04734426,0.01607364,0.000027728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004556302,0.0001313328,0.9908994,0.0001846571,0.00001953266,0.00006429163,0.00005157581,0.001397219,0.002695536],"genre_scores_gemma":[0.280997,0.0004232325,0.7124282,0.0002267702,0.00005164792,0.0002324339,0.0004020041,0.0004749468,0.00476376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003119331,"threshold_uncertainty_score":0.01043516,"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."}}