{"id":"W2903303177","doi":"10.1007/s41781-019-0023-6","title":"Using ATLAS@Home to Exploit Extra CPU from Busy Grid Sites","year":2019,"lang":"en","type":"article","venue":"Computing and Software for Big Science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"National Natural Science Foundation of China; TRIUMF; British Columbia Knowledge Development Fund; National Children's Research Centre; National Science Foundation","keywords":"Grid; Exploit; Central processing unit; Computer science; Grid computing; Supercomputer; Operating system; CPU shielding; Parallel computing; Distributed computing; Computer security; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524913,0.0006745215,0.0009673384,0.0004484949,0.0008292514,0.001517675,0.001696844,0.0006618031,0.005054085],"category_scores_gemma":[0.002941881,0.0004142328,0.0005908188,0.001044276,0.0008788058,0.001558165,0.001776181,0.001424573,0.00131045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008006087,"about_ca_system_score_gemma":0.00158479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004948211,"about_ca_topic_score_gemma":0.004185301,"domain_scores_codex":[0.9991338,0.0002612125,0.00003353183,0.0001378827,0.0002183968,0.0002151292],"domain_scores_gemma":[0.9979728,0.0005407573,0.00006073305,0.0009408848,0.000206448,0.0002784042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006118476,0.0009730782,0.03537458,0.000679678,0.0005221176,0.001345178,0.001487565,0.5305726,0.1007677,0.04616258,0.08536111,0.1906355],"study_design_scores_gemma":[0.0004580138,0.0003868799,0.006769991,0.00003299952,0.0001100635,0.000259399,0.0002992659,0.8515266,0.08730193,0.01922604,0.03349394,0.0001349289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6369947,0.0004574848,0.246962,0.001074866,0.0007434338,0.000209403,0.001602332,0.07871627,0.0332395],"genre_scores_gemma":[0.9490298,0.00008891941,0.04532309,0.0002538681,0.00005096268,0.0001237414,0.001109093,0.002277288,0.001743246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005054085,"threshold_uncertainty_score":0.01690763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05436481647675588,"score_gpt":0.2902080344823891,"score_spread":0.2358432180056332,"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."}}