{"id":"W2113189099","doi":"10.1109/hpcs.2007.28","title":"Selection Algorithm for Grid Services based on a Quality of Service Metric","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Grid; Distributed computing; Quality of service; Grid computing; Matching (statistics); Flexibility (engineering); Metric (unit); Resource allocation; Service (business); Resource (disambiguation); Genetic algorithm; Shared resource; Scale (ratio); Quality (philosophy); Computer network; Machine learning","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":[0.001754768,0.0001138639,0.000199031,0.0002094619,0.00008105979,0.00005838904,0.0005409698,0.00006580309,0.000005146129],"category_scores_gemma":[0.00001743029,0.00009819363,0.00008220668,0.001607978,0.000005496366,0.0001252989,0.00004308922,0.00005777529,0.00001070178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003671894,"about_ca_system_score_gemma":0.00004533266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007612822,"about_ca_topic_score_gemma":0.0001760649,"domain_scores_codex":[0.9986803,0.00006958037,0.0003861596,0.0002964075,0.0003187845,0.0002487644],"domain_scores_gemma":[0.998575,0.000510902,0.0002015995,0.0002976711,0.0003462448,0.00006856491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002971268,0.002406548,0.01432674,0.003140017,0.0002655102,0.000006698143,0.001629607,0.06397566,0.002611557,0.07757132,0.004807463,0.8289617],"study_design_scores_gemma":[0.0005367555,0.0001811848,0.007202968,0.00002899891,0.000003823511,0.000001615272,0.00002559853,0.9863183,0.002739758,0.0002298883,0.00259462,0.0001365041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00436261,0.00001275312,0.9920271,0.0001788383,0.0004649855,0.0002303116,0.00001672179,0.0001907063,0.002515991],"genre_scores_gemma":[0.8027706,1.701181e-7,0.1959159,0.001022991,0.0001541167,0.000006782679,0.00003019719,0.000006074066,0.0000932179],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9223426,"threshold_uncertainty_score":0.400422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748647684363158,"score_gpt":0.3047196549663241,"score_spread":0.2772331781226925,"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."}}