{"id":"W2356002603","doi":"","title":"An Improved Dynamic Batch Adjustment Algorithm of Materialized Views","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materialized view; Computer science; Set (abstract data type); Selection (genetic algorithm); Algorithm; Selection algorithm; Data mining; Response time; Information retrieval; View; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000140332,0.0001429554,0.0002015281,0.00009316726,0.00007019589,0.00002845966,0.0003404777,0.0001290695,0.00315904],"category_scores_gemma":[1.29987e-7,0.0001397217,0.00007842512,0.0001559873,0.00007087709,0.00004838455,0.00004257009,0.0001368428,0.000636462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001979983,"about_ca_system_score_gemma":0.00002358818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008131197,"about_ca_topic_score_gemma":0.00005282234,"domain_scores_codex":[0.9989577,0.00005991235,0.000354036,0.0003685893,0.00006298753,0.0001967634],"domain_scores_gemma":[0.9990296,0.0000213092,0.0001210891,0.0006463669,0.00008083932,0.0001008246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001049777,0.0003472319,0.00001089992,0.000005566294,0.00001294503,1.853391e-7,0.0005136444,4.228771e-7,0.5760598,0.000758733,0.001579024,0.4207011],"study_design_scores_gemma":[0.001695416,0.000186801,0.02874973,0.000003778953,0.00005175837,0.00004523002,0.000166675,0.004577945,0.006477054,0.000858321,0.9568164,0.0003708665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07618343,0.00005745121,0.9201502,0.000162807,0.0003517216,0.001471911,0.0001035508,0.0001816108,0.001337367],"genre_scores_gemma":[0.1965872,0.00001062194,0.7978684,0.0006284316,0.0004951195,0.00233726,0.0002645013,0.0000534785,0.001755013],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9552374,"threshold_uncertainty_score":0.9977522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410912891224776,"score_gpt":0.3366722787185217,"score_spread":0.322563149806274,"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."}}