{"id":"W165101881","doi":"10.11575/prism/30305","title":"AUTOMATIC INTEGRATION OF RELATIONAL DATABASE SCHEMAS","year":2000,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Manitoba","funders":"","keywords":"Computer science; Data integration; Metadata; Information retrieval; Database; IDEF1X; Data element; Information integration; Relational database; Schema (genetic algorithms); Semantic integration; Data architecture; Data mapping; World Wide Web; Ontology-based data integration; Semantic Web; Semantic Web Stack; Reference architecture; Programming language; Software architecture; Software","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001156305,0.0000480111,0.0001085716,0.000074953,0.00005318537,0.000004280124,0.000357981,0.00003980043,0.0003772815],"category_scores_gemma":[0.00002347995,0.00005213185,0.00004437433,0.000142313,0.00008240464,0.0004565732,0.00008186322,0.0000579501,0.00003630847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001310349,"about_ca_system_score_gemma":0.00004784366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002905056,"about_ca_topic_score_gemma":0.000007137101,"domain_scores_codex":[0.9995014,0.00002942709,0.00008741892,0.0001246015,0.0001840318,0.00007312647],"domain_scores_gemma":[0.9995446,0.00006223851,0.00007104057,0.000256629,0.00003743871,0.00002806244],"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":[0.0000102391,0.00006620478,0.0004745861,0.00002476426,0.00001788775,0.00001245443,0.001301815,0.000002732091,0.001296275,0.1671934,0.000739601,0.82886],"study_design_scores_gemma":[0.000476522,0.00005808374,0.07050823,0.00006527724,0.00001958959,0.000006573495,0.0000632826,0.9190443,0.001787737,0.003976454,0.003879104,0.0001148177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2694537,0.00004863027,0.7206448,0.0003861322,0.00002708148,0.00004543547,1.375121e-7,0.00004725648,0.009346832],"genre_scores_gemma":[0.2089006,0.00003022194,0.7899213,0.00002515997,0.000002897152,7.68403e-8,0.000007773094,0.00000168514,0.001110297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9190416,"threshold_uncertainty_score":0.4130968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194045954024642,"score_gpt":0.2096516951244115,"score_spread":0.1902470997219473,"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."}}