{"id":"W2584216330","doi":"","title":"MEWSE: multi-engine workflow submission and execution on apache YARN","year":2016,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Workflow; Computer science; Workflow technology; Workflow engine; Workflow management system; Windows Workflow Foundation; Scripting language; XML; Database; XPDL; Yarn; Software engineering; Plug-in; Operating system; Distributed computing","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":[0.006238143,0.001637437,0.0009967914,0.001109368,0.001220359,0.002437621,0.003873378,0.0009964824,0.008761243],"category_scores_gemma":[0.00710813,0.001538676,0.001599723,0.001029031,0.001115172,0.003199028,0.003464008,0.003188584,0.005891725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161331,"about_ca_system_score_gemma":0.003879397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009197035,"about_ca_topic_score_gemma":0.006872576,"domain_scores_codex":[0.9963492,0.0006263513,0.0003910425,0.0008175193,0.001211597,0.0006042134],"domain_scores_gemma":[0.9961248,0.001070842,0.0002075152,0.001259386,0.0007532137,0.0005842106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01069795,0.002428644,0.01265656,0.003115416,0.00114234,0.003414224,0.003416018,0.08898433,0.1263262,0.02544882,0.3546924,0.3676771],"study_design_scores_gemma":[0.002227358,0.001078166,0.01507604,0.0003121221,0.0001800755,0.001319169,0.0006677948,0.6052301,0.1302442,0.01791932,0.224714,0.001031622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.05516971,0.0005811512,0.3535927,0.000768116,0.0006938833,0.002163328,0.005740869,0.5687937,0.0124965],"genre_scores_gemma":[0.2979222,0.0005866534,0.6052231,0.0007023944,0.000136172,0.001708687,0.02509607,0.04433132,0.02429343],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.009197035,"threshold_uncertainty_score":0.03299087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405860887303631,"score_gpt":0.2588525810773643,"score_spread":0.2182664923470012,"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."}}