{"id":"W4321853764","doi":"10.48550/arxiv.2302.11617","title":"A Reference Architecture for Governance of Cloud Native Applications","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Observability; Cloud computing; Architecture; Computer science; Reference architecture; Sketch; Block (permutation group theory); Construct (python library); Distributed computing; Software engineering; Computer security; Embedded system; Software architecture; Computer network; Operating system; Mathematics; Algorithm; Software","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009014437,0.0006474248,0.0007170365,0.002249728,0.002912952,0.01038234,0.003309436,0.002918568,0.003972242],"category_scores_gemma":[0.013095,0.0007626282,0.001039813,0.002147223,0.003271203,0.009486305,0.006908158,0.003615025,0.002281571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004328739,"about_ca_system_score_gemma":0.008409387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0141041,"about_ca_topic_score_gemma":0.0144908,"domain_scores_codex":[0.9929329,0.002194619,0.0008634918,0.001503372,0.00171157,0.0007940556],"domain_scores_gemma":[0.9898264,0.001021832,0.0005020943,0.004229439,0.003347634,0.001072461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001299114,0.0002465554,0.004137901,0.0002525458,0.00005089593,0.0004734935,0.003385444,0.03274152,0.009929552,0.8102453,0.01579594,0.1226109],"study_design_scores_gemma":[0.00007798729,0.0003015777,0.002616768,0.0006789162,0.0001128009,0.0007447829,0.001476942,0.2709529,0.01409631,0.2633406,0.4453913,0.0002090961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01954735,0.0004714563,0.9480623,0.002265037,0.0002147718,0.0005567343,0.0001791511,0.007887036,0.02081613],"genre_scores_gemma":[0.3011404,0.0008115008,0.6747733,0.0009404843,0.0001460935,0.0009296043,0.001205453,0.001393988,0.0186591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0141041,"threshold_uncertainty_score":0.04767352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0781606541332512,"score_gpt":0.2072581268492814,"score_spread":0.1290974727160302,"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."}}