{"id":"W4411171773","doi":"10.1109/tcc.2025.3578557","title":"A Reference Architecture for Governance of Cloud Native Applications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Architecture; Reference architecture; Distributed computing; Computer security; Data science; Operating system; Software architecture; Software; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008191066,0.0006546215,0.0007099359,0.002261254,0.002742085,0.009972807,0.00323166,0.002692668,0.003893298],"category_scores_gemma":[0.01203475,0.0007587886,0.001044755,0.00192937,0.002935693,0.009070677,0.006814896,0.00359309,0.002417972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003936387,"about_ca_system_score_gemma":0.007896641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253503,"about_ca_topic_score_gemma":0.01302237,"domain_scores_codex":[0.9934516,0.001921798,0.0008328425,0.001385196,0.001644071,0.00076458],"domain_scores_gemma":[0.9907367,0.00089332,0.0004816359,0.003691475,0.003172251,0.001024624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001682661,0.0002960036,0.005066873,0.0003091315,0.00006489475,0.0005965215,0.003686321,0.03673409,0.01296327,0.7789244,0.0175435,0.1436467],"study_design_scores_gemma":[0.0000841079,0.0003614282,0.002835589,0.0007589496,0.0001343391,0.0009040141,0.001465385,0.2997343,0.0168911,0.2285582,0.4480394,0.0002331585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01973844,0.000476171,0.9477233,0.002003312,0.0002142173,0.0006136408,0.0001740243,0.008779986,0.02027693],"genre_scores_gemma":[0.3143686,0.0008382898,0.661278,0.000972049,0.0001494041,0.00097852,0.001229623,0.001422968,0.01876249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01253503,"threshold_uncertainty_score":0.04331899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586601739671134,"score_gpt":0.2654221725808784,"score_spread":0.249556155184167,"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."}}