{"id":"W7139970333","doi":"10.32628/cseit2281224","title":"Cloud-Native Workforce Engineering : A DevOps and CI/CD Strategy for Rapid Deployment of AI Models Across Distributed HCM Systems","year":2021,"lang":"","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"DevOps; Workforce planning; Workforce; Software deployment; Cloud computing; Workforce management; Microservices; Information technology operations","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":[0.005591805,0.0006603417,0.0002246416,0.00123917,0.001554661,0.003570791,0.00208598,0.0007869622,0.001681619],"category_scores_gemma":[0.005742839,0.0003084069,0.000504323,0.0008021272,0.001190997,0.004445367,0.007028368,0.001720466,0.0006326139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00325257,"about_ca_system_score_gemma":0.009623013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010502,"about_ca_topic_score_gemma":0.01070732,"domain_scores_codex":[0.9976822,0.0007175221,0.0001132907,0.0003429779,0.0006247185,0.000519158],"domain_scores_gemma":[0.9956518,0.000308823,0.0003992452,0.001462968,0.001037635,0.001139556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002854163,0.0009662878,0.01809728,0.0003422883,0.00007882946,0.0009948042,0.004070622,0.05823551,0.03310801,0.2214214,0.03340781,0.6289918],"study_design_scores_gemma":[0.0001668089,0.001053806,0.01551588,0.0004825367,0.00008030904,0.001176559,0.007037932,0.6050448,0.02535943,0.09394106,0.2499862,0.0001546719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1098403,0.0005989887,0.8344283,0.009333382,0.000290022,0.001533179,0.0001909542,0.004382262,0.03940266],"genre_scores_gemma":[0.5240101,0.0003409198,0.4665722,0.0009317243,0.00006992403,0.0003365995,0.0003905319,0.0002834376,0.007064662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01010502,"threshold_uncertainty_score":0.02957267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04845293907930907,"score_gpt":0.3200303175057739,"score_spread":0.2715773784264648,"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."}}