{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004575939,0.0001325555,0.0001348077,0.000138904,0.0001989153,0.0005393779,0.0009001844,0.00003387776,0.00008286654],"category_scores_gemma":[0.00001299971,0.0001112762,0.00005231914,0.0004821206,0.00007107171,0.00004047073,0.001065113,0.0001237525,0.0008348178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009105114,"about_ca_system_score_gemma":0.00001344199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001692067,"about_ca_topic_score_gemma":0.000004938741,"domain_scores_codex":[0.9983793,0.00006525774,0.0002767498,0.0005315923,0.0003154971,0.0004316207],"domain_scores_gemma":[0.9991201,0.00006358933,0.00006133593,0.0006388967,0.00001821748,0.00009785582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000428846,0.001355632,0.02706951,0.00008409235,0.00007271861,0.0001121992,0.005083888,0.308111,0.001680725,0.1185381,0.06828539,0.4696024],"study_design_scores_gemma":[0.0002970172,0.00002542611,0.02883256,0.00002173953,0.000001403961,0.000004164838,0.00009668993,0.9540699,0.0001514761,0.00154212,0.01475535,0.0002021675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6113681,0.00003780358,0.383585,0.00151501,0.0004073726,0.0002346559,3.472906e-7,0.0001931985,0.002658482],"genre_scores_gemma":[0.9843882,4.775953e-7,0.01393015,0.000190333,0.0000578734,0.000007504265,0.000002833093,0.000005463158,0.001417128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459588,"threshold_uncertainty_score":0.9999431,"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."}}