{"id":"W2008556387","doi":"10.1007/s11227-008-0212-2","title":"3-Hierarchical resource management model on web grid service architecture","year":2008,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"Wonkwang University","keywords":"Computer science; Resource management (computing); Virtual organization; Grid; Semantic grid; Distributed computing; Grid computing; Resource Management System; Resource allocation; Human resource management system; Metadata; Service (business); Resource (disambiguation); Database; Knowledge management; Computer network; World Wide Web; Human resource management; Semantic Web","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":[0.001537624,0.000217022,0.0003121315,0.0001840102,0.000515104,0.00008266125,0.002316352,0.00005999134,0.000002090458],"category_scores_gemma":[0.00002142005,0.0001386852,0.0001535326,0.0005639672,0.00005609438,0.0001440875,0.000471906,0.0007680505,0.000026719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005042318,"about_ca_system_score_gemma":0.00008697543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006240114,"about_ca_topic_score_gemma":0.000001071173,"domain_scores_codex":[0.997645,0.0003630217,0.0006021347,0.0002202263,0.000752634,0.0004169473],"domain_scores_gemma":[0.9985335,0.0003694382,0.0002397223,0.0005707919,0.000134025,0.0001525485],"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":[0.00004904423,0.00009152028,0.0001148595,0.00003621415,0.00007269895,0.0001702601,0.004809389,0.9765717,0.0001648431,0.004086162,0.006624544,0.0072087],"study_design_scores_gemma":[0.000819133,0.0002194333,0.0008704924,0.0003616025,0.0000275061,0.003646911,0.0002196579,0.9798149,0.00006136596,0.001539357,0.01215143,0.000268216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4413231,0.0001380924,0.5494541,0.00351294,0.0004074078,0.0001100706,0.000002481229,0.00008318249,0.004968638],"genre_scores_gemma":[0.9737592,0.00001974336,0.02375712,0.001696019,0.000649108,4.183747e-7,0.000001570821,0.00001524889,0.0001015742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5324361,"threshold_uncertainty_score":0.5655418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500074531617559,"score_gpt":0.2277537020263972,"score_spread":0.2027529567102216,"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."}}