{"id":"W2020732464","doi":"10.1109/3pgcic.2012.55","title":"Performance Evaluation of Yahoo! S4: A First Look","year":2012,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Stream processing; Scalability; Data stream mining; Fault tolerance; Analytics; Data processing; Distributed computing; Batch processing; Complex event processing; Data science; Database; Data mining; 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":[0.004375773,0.001946931,0.001540032,0.002235983,0.001181448,0.00179158,0.003625167,0.001220002,0.003801904],"category_scores_gemma":[0.007825909,0.0005191794,0.0005633592,0.005264524,0.0009587795,0.002408897,0.001211443,0.001175734,0.001765932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481681,"about_ca_system_score_gemma":0.002020224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01834993,"about_ca_topic_score_gemma":0.007997632,"domain_scores_codex":[0.9935699,0.0008231591,0.0004873093,0.0007958763,0.003413634,0.0009101962],"domain_scores_gemma":[0.9880731,0.003835196,0.0006937298,0.001338457,0.005093265,0.0009663064],"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":[0.01741698,0.006190883,0.06375901,0.00392678,0.0008208501,0.001513682,0.001345913,0.1744591,0.06255706,0.00516125,0.2106246,0.4522239],"study_design_scores_gemma":[0.0007823474,0.005120749,0.09515502,0.0001679061,0.0001772544,0.0007731952,0.001323977,0.7920492,0.07259806,0.002079021,0.02953095,0.0002423714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425861,0.003135899,0.01155998,0.001719042,0.0004499545,0.0004229188,0.006710354,0.01707666,0.01633908],"genre_scores_gemma":[0.960192,0.001015948,0.01978446,0.0003416678,0.0001792142,0.0001810071,0.01236016,0.001820541,0.004124983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01834993,"threshold_uncertainty_score":0.03648627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05153751702399197,"score_gpt":0.300014013550307,"score_spread":0.2484764965263151,"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."}}