{"id":"W1491144867","doi":"10.26180/20707942","title":"A taxonomy and survey of grid resource management systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Taxonomy (biology); Computer science; Resource management (computing); Variety (cybernetics); Grid computing; Component (thermodynamics); Grid; Data science; Knowledge management; Database; Distributed computing; Artificial intelligence; Geography; Ecology","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":[0.001104533,0.00007058225,0.0001441576,0.000068583,0.0001228972,0.00007496499,0.0005990659,0.00001039961,0.000007844344],"category_scores_gemma":[0.000004445737,0.0000663335,0.00001964993,0.0003600461,0.00001456842,0.00004900179,0.0008073804,0.00005782572,0.000003651342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064292,"about_ca_system_score_gemma":0.00001446726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008595412,"about_ca_topic_score_gemma":0.000005458512,"domain_scores_codex":[0.998868,0.000296847,0.0002187946,0.0002410133,0.0002327518,0.0001425321],"domain_scores_gemma":[0.9993689,0.00008898613,0.00009902343,0.0003713752,0.00002844006,0.00004324222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004464512,0.0003496788,0.06614362,0.0005602477,0.0002981718,0.0001008568,0.0008762651,0.100999,0.00001899258,0.4848328,0.3240363,0.0217394],"study_design_scores_gemma":[0.0005277192,0.0001590536,0.04573306,0.00002526995,0.000005644659,0.00006881752,0.000390544,0.1707002,0.00000478413,0.00005061267,0.7820836,0.0002507048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02099457,0.0007466159,0.9016085,0.0001178375,0.001030921,0.0006929184,0.00006412906,0.000205855,0.07453867],"genre_scores_gemma":[0.9967997,0.000001531391,0.00149506,0.00003933507,0.0000161316,0.00004905511,0.00001628813,0.000003126246,0.001579772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9758052,"threshold_uncertainty_score":0.2705002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667846695061484,"score_gpt":0.2171712009955057,"score_spread":0.1804927340448908,"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."}}