{"id":"W4308623392","doi":"10.1145/3550356.3558505","title":"Dynamic adaptation for distributed systems in model-driven engineering","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Adaptation (eye); Computer science; Model-driven architecture; Software engineering; Context (archaeology); Distributed computing; Autonomic computing; Software system; Automation; Software development; Distributed development; Systems engineering; Software; Engineering; Operating system; Cloud computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002861227,0.00008068002,0.0001163581,0.0001101484,0.00005093572,0.00002557357,0.0003935609,0.00001908786,5.657748e-7],"category_scores_gemma":[0.0001842864,0.00008843836,0.00002680555,0.0002981368,0.000003402751,0.0002084106,0.0001772532,0.0001017413,4.409544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330362,"about_ca_system_score_gemma":0.00002585431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009473206,"about_ca_topic_score_gemma":0.000002430186,"domain_scores_codex":[0.9992936,0.00003157845,0.0001534159,0.0002104026,0.0001200333,0.0001910181],"domain_scores_gemma":[0.9993455,0.0003635853,0.00003172127,0.0002133836,0.00002306095,0.0000226883],"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":[0.000001929468,0.00000637665,0.000004527655,0.0000141158,0.000002449191,0.000001558041,0.0001641097,0.9770159,0.0004556566,0.0214073,0.00001422697,0.0009118567],"study_design_scores_gemma":[0.0001659362,0.00002830606,0.00006863761,0.000004101925,8.605222e-7,0.000003732137,0.00006657214,0.9976535,0.00002179712,0.001679312,0.0001990356,0.0001081586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001850877,0.00008540059,0.9967973,0.00006612448,0.000378638,0.0002518022,0.00002234021,0.0005434714,0.00000403372],"genre_scores_gemma":[0.3842305,0.000001215936,0.6154567,0.00000620705,0.000002790496,0.0002455548,0.0000140384,0.000006674754,0.00003629101],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3823796,"threshold_uncertainty_score":0.3606412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001333250116024,"score_gpt":0.2712294753344429,"score_spread":0.2312161428332826,"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."}}