{"id":"W4390481005","doi":"10.1109/jsac.2023.3345385","title":"MLOps in the Metaverse: Human-Centric Continuous Integration","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Metaverse; Human–computer interaction; Artificial intelligence; Virtual machine; Field (mathematics); Virtual reality; Machine learning; Programming language","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":[0.007629989,0.001185869,0.001028625,0.0008449656,0.001031256,0.006160893,0.004198225,0.002099758,0.00377171],"category_scores_gemma":[0.01535142,0.0009915621,0.0008737385,0.0009035975,0.003581469,0.01264996,0.01152229,0.002919462,0.001307285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104824,"about_ca_system_score_gemma":0.001792521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001948855,"about_ca_topic_score_gemma":0.001640921,"domain_scores_codex":[0.9944469,0.002087858,0.0003041672,0.001206239,0.001480725,0.0004740463],"domain_scores_gemma":[0.9870028,0.003850412,0.0008372936,0.00599967,0.001109045,0.001200748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002846927,0.002178313,0.02432756,0.0004974048,0.0004670138,0.001433235,0.009146394,0.2619938,0.04876433,0.103493,0.01166995,0.5331821],"study_design_scores_gemma":[0.0001341973,0.001016967,0.002958205,0.00009351681,0.00009070393,0.0003611659,0.001155805,0.8331261,0.02332946,0.110067,0.02755413,0.0001127275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07930236,0.0003031791,0.9054154,0.0009119571,0.0001041723,0.0001687578,0.0001008424,0.008860298,0.004833016],"genre_scores_gemma":[0.7194078,0.0002276302,0.2734581,0.0005502843,0.00009512015,0.0002633874,0.0004566754,0.001348746,0.004192308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007629989,"threshold_uncertainty_score":0.04035175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04486756670283838,"score_gpt":0.3355270953609135,"score_spread":0.2906595286580752,"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."}}