{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006243269,0.0001856497,0.0002065904,0.00058237,0.0003499305,0.0003083685,0.0008199901,0.00009151576,0.000602261],"category_scores_gemma":[0.0004815653,0.0001248431,0.00008560272,0.001008198,0.0001525105,0.001611909,0.0008365831,0.0001243918,0.0004468279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000548167,"about_ca_system_score_gemma":0.00004361046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791075,"about_ca_topic_score_gemma":0.000007640386,"domain_scores_codex":[0.9975744,0.0002486862,0.0001911593,0.0009021661,0.000759854,0.0003237181],"domain_scores_gemma":[0.9979025,0.0006564387,0.0001448664,0.0009555283,0.00005675183,0.0002839006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001414333,0.0001194596,0.01228367,0.000005644918,0.00001808907,0.00006716895,0.0002240056,0.00007168516,0.00005861627,0.003559522,0.8563076,0.1271432],"study_design_scores_gemma":[0.001184705,0.0001164567,0.04872977,0.0001328772,0.00001958874,4.769536e-7,0.0008149446,0.0006435131,0.001305072,0.001588557,0.9451165,0.0003475536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4963819,0.00004620207,0.1559986,0.3248895,0.001887381,0.0007016413,0.0001418585,0.0009820741,0.01897084],"genre_scores_gemma":[0.6352226,0.00007319819,0.008553509,0.0002053581,0.00006523824,2.954461e-7,0.00001379671,0.00001399642,0.355852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3368812,"threshold_uncertainty_score":0.6594337,"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."}}