{"id":"W1581905079","doi":"10.1007/11546924_73","title":"Control-Based Quality Adaptation in Data Stream Management Systems","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Adaptation (eye); Leverage (statistics); Data quality; Quality (philosophy); Distributed computing; Snapshot (computer storage); Database; Real-time computing; Data mining; Artificial intelligence; Operations management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002121463,0.0005179188,0.000690871,0.0008058936,0.0001591065,0.0003622556,0.003706449,0.0002043959,0.000006476529],"category_scores_gemma":[0.00006783046,0.0004764181,0.00006313444,0.0005544087,0.0003483779,0.001575837,0.001420053,0.0005152154,0.00002889867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268757,"about_ca_system_score_gemma":0.0004038359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003063345,"about_ca_topic_score_gemma":0.001400802,"domain_scores_codex":[0.9950392,0.0001132115,0.000966255,0.002059019,0.001195334,0.0006269381],"domain_scores_gemma":[0.9951008,0.0004873041,0.0005017447,0.003620232,0.0001543531,0.000135543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001309313,0.00004103263,0.00004441209,0.0001509106,0.0000117489,0.0001084275,0.0001424189,0.5105294,0.000007094565,0.1461989,0.00002155043,0.342731],"study_design_scores_gemma":[0.0007442991,0.00005146231,0.0001722016,0.0007641286,0.000006753319,0.00001198804,0.000001042534,0.9775267,0.00001742222,0.003569688,0.01655074,0.0005835553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001309578,0.0008321003,0.9947731,0.0004400123,0.001442519,0.0008371532,0.0001389171,0.0001441788,0.001378898],"genre_scores_gemma":[0.1653256,0.00006026494,0.8324737,0.0009629182,0.0005648086,0.00004220676,0.0001711841,0.00004186656,0.0003574415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4669973,"threshold_uncertainty_score":0.9997687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475951223975257,"score_gpt":0.2916343012536584,"score_spread":0.2468747890139059,"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."}}