{"id":"W2069364954","doi":"10.1016/j.future.2004.02.001","title":"Performance of adaptive space-sharing policies in dedicated heterogeneous cluster systems","year":2004,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cluster (spacecraft); Space (punctuation); Distributed computing; Theoretical computer science; Computer network; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000624855,0.0003550999,0.0005827501,0.0003720493,0.0001644989,0.0004189456,0.001127844,0.0002184166,7.441029e-7],"category_scores_gemma":[0.000004764702,0.0003253336,0.0001057786,0.0008047421,0.00003790236,0.0004564384,0.0003129047,0.0002159554,0.00003134708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310836,"about_ca_system_score_gemma":0.0001436942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006016505,"about_ca_topic_score_gemma":0.00004517055,"domain_scores_codex":[0.9970028,0.0002255411,0.001014423,0.0006954157,0.0005608117,0.0005010252],"domain_scores_gemma":[0.9982135,0.00003610148,0.0004908884,0.0008321727,0.0002873428,0.0001399912],"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":[0.00001006476,0.00006528466,0.00147816,0.000153927,0.00004501297,0.00001503239,0.001551008,0.9807975,0.0002727947,0.01275758,0.002577049,0.0002765946],"study_design_scores_gemma":[0.0009504152,0.0002810036,0.0008723037,0.0003877843,0.00000627764,0.0002296187,0.00005752197,0.9916243,0.0003419959,0.000004209811,0.004891235,0.0003533318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3044504,0.001259843,0.6661223,0.0002023269,0.02704716,0.0005674412,0.00001070914,0.0001937481,0.000146026],"genre_scores_gemma":[0.9788178,0.0000216943,0.005090428,0.00007573399,0.01580649,0.00005292779,0.00004448691,0.00002314497,0.00006731885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6743674,"threshold_uncertainty_score":0.9999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123611540553189,"score_gpt":0.2257243364159872,"score_spread":0.2044882210104553,"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."}}