{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00204861,0.0008715392,0.001489028,0.001614889,0.0009145662,0.001167283,0.001544225,0.001121763,0.002991476],"category_scores_gemma":[0.004322077,0.0003150465,0.0005981324,0.00141188,0.000696771,0.000838215,0.0009635423,0.0007133257,0.000588341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153163,"about_ca_system_score_gemma":0.001784532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004966697,"about_ca_topic_score_gemma":0.003641498,"domain_scores_codex":[0.9985644,0.0004964598,0.00008226084,0.000172853,0.0004852136,0.0001988164],"domain_scores_gemma":[0.9986399,0.0006838731,0.0001504376,0.00007200427,0.0003364663,0.0001173053],"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":[0.0003105958,0.0002266225,0.002767539,0.0001135573,0.000115675,0.0001368475,0.0001798515,0.7504007,0.004902837,0.01295837,0.003973333,0.2239141],"study_design_scores_gemma":[0.00004172539,0.00005377405,0.0002504606,0.000004397824,0.0000120587,0.00003607008,0.00002671834,0.9959946,0.0007379411,0.002138463,0.0006973638,0.00000636727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03653468,0.0001831882,0.9589214,0.0003317605,0.00007706508,0.0003160572,0.00006532312,0.0007367237,0.002833935],"genre_scores_gemma":[0.5469179,0.0001498708,0.4493143,0.0002052357,0.00006612128,0.0004931418,0.0002506073,0.0001174845,0.002485427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004966697,"threshold_uncertainty_score":0.01111281,"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."}}