{"id":"W1590963399","doi":"","title":"Parallel Computing Performance Monitoring Tool for a Cluster of Computers","year":2002,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Cluster (spacecraft); Computer cluster; Operating system","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":[0.001982254,0.001551507,0.0007699259,0.002846401,0.001001629,0.001619479,0.001861104,0.0006478594,0.01126965],"category_scores_gemma":[0.009426703,0.0008985213,0.00039363,0.002149498,0.0003584279,0.001824454,0.0008597584,0.001692892,0.002949372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007702968,"about_ca_system_score_gemma":0.001323947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827165,"about_ca_topic_score_gemma":0.002563332,"domain_scores_codex":[0.9984815,0.0002634602,0.0002035148,0.0002919725,0.0006218165,0.0001378014],"domain_scores_gemma":[0.9938221,0.002147197,0.0006062081,0.001451552,0.001547664,0.0004252407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005793083,0.001130677,0.03267422,0.0009472632,0.0004793949,0.001000978,0.001265076,0.03959484,0.05261137,0.01660778,0.2517973,0.5960981],"study_design_scores_gemma":[0.0005685542,0.0005837333,0.01861341,0.000126972,0.0002697595,0.0008259112,0.0001736667,0.7631059,0.1306554,0.01357434,0.0712788,0.0002235039],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.1041385,0.0005022555,0.4200152,0.0006923712,0.0003769063,0.0007158867,0.005344616,0.4474084,0.02080612],"genre_scores_gemma":[0.6366381,0.0002959061,0.330498,0.000320579,0.0001586103,0.0009781366,0.006597975,0.01194165,0.01257097],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01126965,"threshold_uncertainty_score":0.03770077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07734885461524495,"score_gpt":0.2848801162205629,"score_spread":0.2075312616053179,"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."}}