{"id":"W4240875063","doi":"10.1007/978-0-387-39940-9_3025","title":"Materialized View Redefinition","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materialized view; Computer science; Information retrieval","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":[0.002224228,0.00137658,0.001034282,0.003185994,0.001248379,0.00842494,0.002944429,0.001604287,0.107581],"category_scores_gemma":[0.006871291,0.0009799957,0.001814263,0.002394652,0.001751786,0.01001242,0.006452213,0.003545841,0.0387081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728526,"about_ca_system_score_gemma":0.002897737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005088945,"about_ca_topic_score_gemma":0.007022614,"domain_scores_codex":[0.9975206,0.0004356383,0.0001982509,0.0004211343,0.001187277,0.0002370834],"domain_scores_gemma":[0.9963846,0.0006179226,0.0000745232,0.001735176,0.001046092,0.0001416966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002816255,0.0001088709,0.0004591083,0.001022157,0.00006690665,0.0007878844,0.001357682,0.00140578,0.008132917,0.421359,0.2416166,0.3234015],"study_design_scores_gemma":[0.00001660361,0.00001354876,0.00008029077,0.0002219012,0.00004191852,0.0002483601,0.0001401561,0.002638767,0.00563872,0.03693757,0.9539952,0.00002696775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00394775,0.002623788,0.5935852,0.003227924,0.004428689,0.0006167651,0.01062869,0.03895944,0.3419817],"genre_scores_gemma":[0.09342809,0.006598711,0.5083894,0.002944149,0.001491198,0.0006167391,0.03280948,0.02678652,0.3269358],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.107581,"threshold_uncertainty_score":0.3598945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264356553716914,"score_gpt":0.2428678646480406,"score_spread":0.2164322092763492,"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."}}