{"id":"W3216896892","doi":"10.1145/3493651.3493671","title":"SLA for Sequential Serverless Chains","year":2021,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Dependency (UML); Categorical variable; Construct (python library); Function (biology); Service level; Distributed computing; Scale (ratio); Variable (mathematics); Service (business); Chain (unit); Artificial intelligence; Computer network; Machine learning; Mathematics","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":[0.004707677,0.0008566705,0.001027538,0.0009841439,0.001291896,0.002413408,0.001590064,0.001095588,0.003124302],"category_scores_gemma":[0.01431819,0.0004768283,0.0007789896,0.0009070055,0.001846863,0.003500297,0.002402668,0.002142932,0.0007302256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702461,"about_ca_system_score_gemma":0.003202658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006583064,"about_ca_topic_score_gemma":0.004693322,"domain_scores_codex":[0.9938405,0.001490173,0.0004096658,0.001185341,0.002015333,0.001058926],"domain_scores_gemma":[0.9884243,0.003627348,0.002088375,0.003213556,0.001976393,0.0006699697],"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":[0.0004126745,0.000260816,0.009767614,0.0001659253,0.00007203609,0.0002899538,0.0003850482,0.8497274,0.01297712,0.05231187,0.003538173,0.07009149],"study_design_scores_gemma":[0.000009281238,0.00004437884,0.0004425123,0.000008736962,0.000004257933,0.00003341808,0.00005010862,0.9860575,0.000890155,0.01174954,0.0007011244,0.000009022473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09446441,0.0001696871,0.8998068,0.0002075777,0.00008919107,0.000190338,0.0001789179,0.001545019,0.003348096],"genre_scores_gemma":[0.8858362,0.00006807458,0.1123627,0.00008404189,0.00003560906,0.0001023586,0.0002698155,0.0001369664,0.001104297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006583064,"threshold_uncertainty_score":0.02489686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554570887605606,"score_gpt":0.2562683283179265,"score_spread":0.2307226194418704,"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."}}