{"id":"W1977320861","doi":"10.1007/s00778-004-0136-2","title":"Preserving mapping consistency under schema changes","year":2004,"lang":"en","type":"article","venue":"The VLDB Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Schema (genetic algorithms); Rewriting; Conceptual schema; Theoretical computer science; Semantics (computer science); Information retrieval; Programming language","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":[0.01300161,0.001129487,0.002590392,0.002770867,0.00226968,0.008142119,0.004986068,0.003247301,0.003316373],"category_scores_gemma":[0.06665141,0.002409852,0.002274935,0.006554347,0.00401183,0.02130204,0.008825484,0.006619938,0.001315991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195653,"about_ca_system_score_gemma":0.003784974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002574996,"about_ca_topic_score_gemma":0.001984447,"domain_scores_codex":[0.9795458,0.007216014,0.002198812,0.003905329,0.005715683,0.001418334],"domain_scores_gemma":[0.896283,0.03124994,0.004375931,0.05926326,0.007802707,0.001025065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002464077,0.0006779814,0.01408276,0.0009997725,0.001072475,0.002562204,0.003967999,0.08508351,0.0377629,0.4106396,0.01397659,0.4267102],"study_design_scores_gemma":[0.0002716072,0.0002107889,0.00206447,0.000137482,0.0009361424,0.001425374,0.00123699,0.1641964,0.06518991,0.7464266,0.01776903,0.0001352009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.133088,0.0006537027,0.8490754,0.002090947,0.0004448183,0.0002323964,0.001040967,0.005222672,0.008151084],"genre_scores_gemma":[0.74642,0.0007839896,0.2396941,0.001160537,0.0004563306,0.0002161824,0.002587638,0.002230331,0.006451026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01300161,"threshold_uncertainty_score":0.06875986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05595234486683632,"score_gpt":0.2594263878383082,"score_spread":0.2034740429714719,"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."}}