{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000769089,0.00009791939,0.0001338438,0.0001899171,0.0001935176,0.0001073786,0.000533539,0.000114764,0.00001721901],"category_scores_gemma":[0.00002145926,0.00009235353,0.00002823235,0.0006999859,0.00005626737,0.0001076153,0.00003468069,0.0001752051,0.00009925313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001957483,"about_ca_system_score_gemma":0.00003650304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113442,"about_ca_topic_score_gemma":0.00000965194,"domain_scores_codex":[0.9991587,0.00001725558,0.0001911236,0.0003727712,0.00009267708,0.000167463],"domain_scores_gemma":[0.9987059,0.00006341656,0.00003783031,0.001049077,0.00009189294,0.00005190556],"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":[6.537561e-7,0.0001273722,0.00003459401,0.00001553643,0.00004170677,0.00002074076,0.00007980587,0.00006313533,0.0005954794,0.2832414,0.0003321896,0.7154474],"study_design_scores_gemma":[0.0005047926,0.0003909465,0.000111182,0.0002190201,0.00005090241,0.001791074,0.002147818,0.06098174,0.1120178,0.04696634,0.7740106,0.000807814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001627695,0.0007310418,0.991231,0.005242406,0.0003809141,0.00009521613,0.0000149304,0.0003188609,0.0003579925],"genre_scores_gemma":[0.8977454,0.0009343509,0.09810085,0.000163992,0.00003718732,0.0002391061,0.000007745761,0.00001580417,0.002755573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8961177,"threshold_uncertainty_score":0.3766068,"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."}}