{"id":"W2050687058","doi":"10.1145/1082983.1083081","title":"Policies, grids and autonomic computing","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Autonomic computing; Context (archaeology); Resource allocation; Grid computing; Grid; Resource management (computing); Work (physics); Resource (disambiguation); Service level; Service (business); Risk analysis (engineering); Process management; Management science; Knowledge management; Distributed computing; Business; Engineering; 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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002673937,0.0002577508,0.0002637805,0.0001335678,0.0001523138,0.0002883819,0.001044936,0.0000934659,0.000003499422],"category_scores_gemma":[0.008950097,0.0002685088,0.00006410031,0.0002849027,0.00002518893,0.000317004,0.0006493539,0.0002037374,0.0000535605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007164232,"about_ca_system_score_gemma":0.0000480151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005897063,"about_ca_topic_score_gemma":0.000002014788,"domain_scores_codex":[0.9985825,0.00002235662,0.000316035,0.0004231307,0.0001730084,0.0004829957],"domain_scores_gemma":[0.9898423,0.009169076,0.00008180922,0.0007009661,0.00004592107,0.0001599277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006211945,0.0001315665,0.4302495,0.0003025546,0.0001603478,0.00004031229,0.005177733,0.3165616,0.001826082,0.02671773,0.004820482,0.2140059],"study_design_scores_gemma":[0.001133795,0.0001627472,0.5232185,0.0004335681,0.00002672352,0.0003791848,0.00001645541,0.3541629,0.001722696,0.0001288096,0.1167916,0.001823042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4063647,0.0009002404,0.5897044,0.0006534944,0.0005197043,0.0001129131,0.000008613697,0.001724402,0.00001147932],"genre_scores_gemma":[0.8568168,0.00000631069,0.1425503,0.0001755956,0.0003881698,0.000003242735,0.000009339871,0.00002155331,0.0000287279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.450452,"threshold_uncertainty_score":0.9999767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203444638786701,"score_gpt":0.2264702182654761,"score_spread":0.2144357718776091,"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."}}