{"id":"W2979325626","doi":"10.1109/access.2019.2946884","title":"A Survey of Distributed Data Stream Processing Frameworks","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gnowit (Canada); Queen's University","funders":"Mitacs; Ontario Centres of Excellence","keywords":"Stream processing; Computer science; Analytics; SPARK (programming language); Data stream mining; IBM; Data science; Big data; Data analysis; Distributed computing; Data mining","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":[0.00449381,0.001233694,0.001190486,0.004262442,0.001122872,0.004067662,0.00438493,0.001563358,0.003407744],"category_scores_gemma":[0.007896316,0.001055968,0.00139284,0.01047496,0.0009049079,0.005232541,0.002629971,0.002298483,0.001260599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907327,"about_ca_system_score_gemma":0.004873211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005875024,"about_ca_topic_score_gemma":0.003156367,"domain_scores_codex":[0.9965752,0.0003928007,0.000385801,0.0005155832,0.001857636,0.0002730263],"domain_scores_gemma":[0.996053,0.001547374,0.0002226908,0.0006604558,0.001282143,0.000234373],"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":[0.0003256286,0.0002541358,0.004435571,0.005094761,0.0001712357,0.0002866376,0.0006140016,0.03515657,0.003820483,0.178639,0.06043252,0.7107695],"study_design_scores_gemma":[0.0001033031,0.0001989082,0.002884279,0.00204291,0.0001464658,0.00104863,0.0004853376,0.09831136,0.005334625,0.06531722,0.823994,0.0001330332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01647628,0.2137892,0.6887029,0.005237381,0.001295447,0.001121753,0.001797858,0.01030656,0.06127273],"genre_scores_gemma":[0.1695415,0.2856283,0.5170299,0.002688203,0.001688762,0.001135974,0.007207199,0.00244753,0.0126326],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005875024,"threshold_uncertainty_score":0.02376586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05545744491834761,"score_gpt":0.3222437802719756,"score_spread":0.2667863353536279,"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."}}