{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002199153,0.0002139237,0.0002796908,0.0001308797,0.0001319375,0.00004004081,0.002200393,0.0001482871,0.000001912983],"category_scores_gemma":[0.00003410095,0.0002304778,0.0001930488,0.0006132012,0.00009462963,0.00001428473,0.002526144,0.0003620244,0.00001880505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110624,"about_ca_system_score_gemma":0.0001030056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134216,"about_ca_topic_score_gemma":0.00004171577,"domain_scores_codex":[0.9984639,0.00006052251,0.0001934767,0.0009254177,0.0001034999,0.0002532203],"domain_scores_gemma":[0.9979478,0.0002653034,0.0003993919,0.001142386,0.0001738748,0.0000712227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001177645,0.00005008895,0.00005879623,0.0001898005,0.00007971347,0.000009439967,0.0002370974,0.5060231,0.000006796804,0.4895182,0.0006804708,0.003134649],"study_design_scores_gemma":[0.0004980808,0.00008954882,0.001146693,0.0002592521,0.00007325393,0.000001218569,0.00009146926,0.70179,0.0001041169,0.2732343,0.02222022,0.000491822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03069976,0.00005007318,0.9653758,0.0003714654,0.0003022342,0.0007284061,0.00006931293,0.00029018,0.002112696],"genre_scores_gemma":[0.9887527,0.00004164137,0.005865689,0.00004612813,0.0001149949,0.00001313443,0.00001190879,0.00001704156,0.00513676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9595102,"threshold_uncertainty_score":0.939861,"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."}}