{"id":"W1526762637","doi":"","title":"Ontology Mapping - a User Survey","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Ontology; Information retrieval; Interoperability; World Wide Web; Upper ontology; Ontology-based data integration; Process ontology; Semantic Web; Data science","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":[0.02042668,0.0005477601,0.0009451818,0.006551193,0.001440502,0.003197434,0.0009707078,0.001418432,0.003021893],"category_scores_gemma":[0.06378065,0.0003710215,0.0006631988,0.006598461,0.001117419,0.008615323,0.003637255,0.00093138,0.001174996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007282378,"about_ca_system_score_gemma":0.001006786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606891,"about_ca_topic_score_gemma":0.002120979,"domain_scores_codex":[0.9862995,0.007373607,0.001154097,0.0009956758,0.003495709,0.0006814369],"domain_scores_gemma":[0.8802849,0.09004495,0.004115916,0.006129229,0.01759118,0.001833837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004898054,0.0004066551,0.2715352,0.002065401,0.0001846618,0.0006823668,0.08146214,0.0007596108,0.004195225,0.00781859,0.03235172,0.5980486],"study_design_scores_gemma":[0.00007123374,0.000930013,0.2196058,0.003420519,0.0003482796,0.006824581,0.2193754,0.01669015,0.007404612,0.00904115,0.5158008,0.0004874981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256865,0.01464788,0.03204859,0.00642282,0.0002094946,0.0002536142,0.00148106,0.001344274,0.01790578],"genre_scores_gemma":[0.9712564,0.008194615,0.01257266,0.00238254,0.00009495645,0.0003048719,0.001562072,0.0002743278,0.00335742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02042668,"threshold_uncertainty_score":0.1080279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05259719235784825,"score_gpt":0.2831378763373549,"score_spread":0.2305406839795066,"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."}}