{"id":"W2782877557","doi":"10.1109/icmla.2017.00-89","title":"MapReduce Based Classification for Fault Detection in Big Data Applications","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Big data; Scalability; Cloud computing; Distributed computing; Task (project management); Software; Fault tolerance; Data mining; Database; Operating system","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":[0.001319458,0.0007997833,0.0009403357,0.002382282,0.001179704,0.001393462,0.001927222,0.0007155055,0.001047366],"category_scores_gemma":[0.004203575,0.00030187,0.0009396425,0.001454302,0.0004681736,0.001615411,0.0008533652,0.0009729364,0.0004806952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438623,"about_ca_system_score_gemma":0.002237363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01453827,"about_ca_topic_score_gemma":0.01645537,"domain_scores_codex":[0.9984354,0.0002379444,0.0001004826,0.0003143713,0.0006736954,0.0002380557],"domain_scores_gemma":[0.9979741,0.0006612411,0.0002077116,0.0003213668,0.0006927411,0.0001428223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001308387,0.001379661,0.04491527,0.0003433131,0.0002523812,0.0005996241,0.0005764308,0.2211469,0.02362961,0.0100378,0.01628746,0.6795232],"study_design_scores_gemma":[0.00001357903,0.00007802614,0.005622902,0.000006789862,0.00001940097,0.0001134177,0.0001507763,0.9768313,0.008520836,0.007044031,0.001580446,0.00001849552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2570843,0.0007699357,0.7232423,0.001357538,0.0002977844,0.0004221977,0.000891704,0.01053835,0.005395872],"genre_scores_gemma":[0.8960958,0.0001391991,0.100793,0.0001488421,0.00006740027,0.0001083676,0.0006209287,0.00009423684,0.001932229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01453827,"threshold_uncertainty_score":0.0289073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213476285072475,"score_gpt":0.3162433937811572,"score_spread":0.1948957652739098,"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."}}