{"id":"W2127110276","doi":"10.1002/cpe.3026","title":"Accelerating R‐based analytics on the cloud","year":2013,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Programmer; Scalability; Analytics; Workstation; Set (abstract data type); Software","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":[0.002153082,0.0008749723,0.0007570703,0.0008384435,0.0006475103,0.002172424,0.001743661,0.0004896412,0.005386626],"category_scores_gemma":[0.00555698,0.0004309228,0.0007171449,0.001044575,0.0008982196,0.002087227,0.002411792,0.001200031,0.002971523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009264214,"about_ca_system_score_gemma":0.00291029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00863272,"about_ca_topic_score_gemma":0.004045059,"domain_scores_codex":[0.997894,0.0004960972,0.00009708273,0.0004298983,0.0007424262,0.0003406084],"domain_scores_gemma":[0.9943843,0.001514544,0.0004106629,0.002061942,0.001281766,0.0003467709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001661714,0.0006468294,0.01241086,0.0004836985,0.0002413928,0.001505832,0.0006321099,0.3951285,0.08599556,0.08532944,0.0595651,0.3563989],"study_design_scores_gemma":[0.000129594,0.0001330964,0.001616138,0.00003301012,0.00003827171,0.000139033,0.0001290034,0.9349709,0.01973629,0.02102607,0.02200071,0.00004785703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1185013,0.0006785572,0.8184843,0.002487521,0.000307447,0.0004400163,0.0005763472,0.02672014,0.03180439],"genre_scores_gemma":[0.5255467,0.0005079705,0.4669503,0.0004009319,0.0001563807,0.0001593653,0.0008199518,0.001084559,0.004373854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00863272,"threshold_uncertainty_score":0.01802003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458330124625139,"score_gpt":0.3056046564191353,"score_spread":0.2597716439566214,"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."}}