{"id":"W2346749919","doi":"10.1145/2909437.2909457","title":"OpenCL meets Open Source Streaming Analytics","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Scalability; Analytics; Open source; Software; Baseline (sea); Field-programmable gate array; Acceleration; Open source software; Operating system; Database","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003168075,0.002837965,0.001469657,0.003024793,0.001386256,0.004642482,0.006167153,0.002045817,0.08332247],"category_scores_gemma":[0.01717529,0.001554856,0.001451731,0.00244132,0.001197773,0.005808378,0.005165513,0.003984703,0.07593105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503639,"about_ca_system_score_gemma":0.003066143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003122211,"about_ca_topic_score_gemma":0.003928856,"domain_scores_codex":[0.9958026,0.0004249512,0.0004159755,0.001016545,0.001703491,0.000636448],"domain_scores_gemma":[0.9888902,0.002223485,0.000429696,0.003886053,0.00350859,0.001061999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002108106,0.0004288022,0.002374064,0.0009404064,0.0002174031,0.0006921345,0.0004193642,0.004591923,0.03169984,0.02250323,0.582276,0.3517487],"study_design_scores_gemma":[0.001287372,0.0004790457,0.002949773,0.0003887955,0.0001303575,0.001163347,0.0002312778,0.2012057,0.08437154,0.0912354,0.6160592,0.0004982218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.003453605,0.0003485578,0.3413581,0.0006856248,0.0006930646,0.0003340579,0.005495557,0.6211784,0.02645305],"genre_scores_gemma":[0.1550873,0.001032455,0.4539243,0.002193155,0.001235979,0.002892174,0.07535202,0.2189422,0.08934043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08332247,"threshold_uncertainty_score":0.2787414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104717634173083,"score_gpt":0.3038031651666325,"score_spread":0.2627559888249017,"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."}}