{"id":"W2076609297","doi":"10.1145/2465848.2465850","title":"HTC scientific computing in a distributed cloud environment","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Victoria","funders":"National Research Council Canada; Canarie; National Science Foundation","keywords":"Cloud computing; Computer science; Embarrassingly parallel; Distributed computing; Workload; Utility computing; Cloud testing; Supercomputer; Quality of service; Operating system; Cloud computing security; Computer network","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":[0.0009239677,0.0003337239,0.0004320212,0.000758751,0.001830784,0.002985036,0.001371126,0.0008798874,0.006939207],"category_scores_gemma":[0.001507723,0.0002021759,0.0004967606,0.002109203,0.001310461,0.002553525,0.001581391,0.001128017,0.003366062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073466,"about_ca_system_score_gemma":0.003239406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005032927,"about_ca_topic_score_gemma":0.005828428,"domain_scores_codex":[0.9986959,0.0002299131,0.00006492839,0.0002053081,0.0006544568,0.000149556],"domain_scores_gemma":[0.9987637,0.000191012,0.00006983806,0.0004489216,0.0003363608,0.0001901697],"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":[0.0001850703,0.0002127157,0.003458125,0.0006271516,0.00008485964,0.001669433,0.0006975017,0.02593253,0.03892581,0.4628088,0.1457794,0.3196186],"study_design_scores_gemma":[0.0000909024,0.0001537626,0.002541671,0.0001192017,0.00003756912,0.001367672,0.0001728929,0.07067464,0.01378128,0.06112723,0.8498643,0.00006870946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02935811,0.007445986,0.6663212,0.006948389,0.003063557,0.0008073323,0.0008441,0.01019803,0.2750134],"genre_scores_gemma":[0.353211,0.0108507,0.533879,0.002686856,0.00282656,0.0006017491,0.001965925,0.001348866,0.09262925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006939207,"threshold_uncertainty_score":0.02321392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009802075803479228,"score_gpt":0.1968994908173324,"score_spread":0.1870974150138531,"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."}}