{"id":"W54721856","doi":"","title":"Information Integration and the Semantic Web.","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Interoperability; XML; Semantic interoperability; Data integration; Enterprise information integration; Information integration; World Wide Web; Schema (genetic algorithms); XML Schema Editor; Information retrieval; Database","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":[0.003241568,0.001366888,0.001116633,0.005815721,0.002025235,0.01019124,0.001717652,0.005838295,0.0171668],"category_scores_gemma":[0.004785036,0.0007289373,0.0008736977,0.01372158,0.00852504,0.01787116,0.006086391,0.004720873,0.004503976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004385756,"about_ca_system_score_gemma":0.002706432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004644513,"about_ca_topic_score_gemma":0.002744442,"domain_scores_codex":[0.9962845,0.001009052,0.0002783574,0.0005482362,0.001677527,0.0002021988],"domain_scores_gemma":[0.99696,0.001587625,0.0003337419,0.0003491446,0.0006081147,0.0001614018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001041376,0.00001935257,0.0001424374,0.0003350622,0.00001440332,0.0001295974,0.0003805652,0.0005235493,0.0001069917,0.9186067,0.01976638,0.05996452],"study_design_scores_gemma":[0.000003721453,0.000007094369,0.0001563409,0.0003977652,0.000008634897,0.0002940758,0.0002993139,0.0009385736,0.00008606119,0.7237901,0.2740061,0.00001234534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004804286,0.3648082,0.1309645,0.07259089,0.005879552,0.0001881364,0.0009733329,0.0008791859,0.4189117],"genre_scores_gemma":[0.2402678,0.4017445,0.144356,0.02028637,0.01539721,0.0006584788,0.004695202,0.0006034882,0.171991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0171668,"threshold_uncertainty_score":0.05742866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009496897285450756,"score_gpt":0.2141273339126402,"score_spread":0.2046304366271895,"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."}}