{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106641,0.0008971201,0.001092132,0.001253438,0.0006988308,0.001531835,0.002183459,0.0005655923,0.002623074],"category_scores_gemma":[0.004461741,0.0005540755,0.0008467718,0.001366867,0.0005132838,0.002375844,0.001111507,0.0009042391,0.000886056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008194236,"about_ca_system_score_gemma":0.001086049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009174251,"about_ca_topic_score_gemma":0.004722973,"domain_scores_codex":[0.9975768,0.0003020259,0.000152631,0.000665019,0.00112223,0.0001813111],"domain_scores_gemma":[0.9977853,0.0004913266,0.0001873933,0.0005261678,0.0008844091,0.0001254313],"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":[0.0008115579,0.0001343554,0.004357849,0.0001095236,0.00008656622,0.0001161095,0.0003324434,0.02893999,0.07915367,0.006866914,0.006154109,0.872937],"study_design_scores_gemma":[0.0001295544,0.0003947368,0.004283169,0.00001194479,0.00008924416,0.000402363,0.0001668058,0.9106983,0.0651671,0.004234209,0.01429086,0.0001317146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02051404,0.000259733,0.9750641,0.00006760173,0.0000610294,0.0001102942,0.00007539138,0.002824584,0.001023259],"genre_scores_gemma":[0.2891256,0.0002329888,0.705865,0.0001064992,0.0001112569,0.000219426,0.0006439845,0.0003991665,0.00329615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009174251,"threshold_uncertainty_score":0.0182417,"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."}}