{"id":"W3119260152","doi":"10.1145/3430767","title":"RHUPS","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Intelligent Systems and Technology","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Foundation of Korea","keywords":"Computer science; Scalability; Data mining; Database; Sliding window protocol; Data stream; Data stream mining; Window (computing)","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":[0.001283777,0.001716771,0.001189021,0.003460092,0.00216688,0.006512354,0.002892432,0.002146565,0.5993523],"category_scores_gemma":[0.004947579,0.000768833,0.001057886,0.003178411,0.0007197539,0.005354383,0.004761909,0.001692146,0.5273242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250078,"about_ca_system_score_gemma":0.002204636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003055516,"about_ca_topic_score_gemma":0.0030553,"domain_scores_codex":[0.9980703,0.0002122702,0.0001770338,0.0004986644,0.00078105,0.0002605938],"domain_scores_gemma":[0.9975544,0.0002569003,0.000115681,0.0008813016,0.000870501,0.0003213257],"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":[0.0004138164,0.0001419445,0.001714673,0.0007822307,0.00004437652,0.0005074983,0.0003074004,0.0006505026,0.004367508,0.02497651,0.5994761,0.3666174],"study_design_scores_gemma":[0.00002445062,0.00003168379,0.0005327868,0.00009555267,0.00001354579,0.0003081103,0.0001057301,0.0005329906,0.00158241,0.003588759,0.9931645,0.00001948902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005295831,0.00334356,0.03535674,0.003374581,0.004494719,0.0008676498,0.03629579,0.02704536,0.8839257],"genre_scores_gemma":[0.04034827,0.003422107,0.03243268,0.002820994,0.001158588,0.0006177567,0.06526905,0.00739984,0.8465307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5993523,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132961777939066,"score_gpt":0.2588025962539239,"score_spread":0.2374729784745332,"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."}}