{"id":"W4410898416","doi":"10.3390/fi17060245","title":"Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System","year":2025,"lang":"en","type":"article","venue":"Future Internet","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec en Outaouais","funders":"","keywords":"Computer science; Knowledge graph; Graph; Data science; Information retrieval; World Wide Web; Theoretical computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120755,0.0002130766,0.0005217553,0.0002412968,0.0001813338,0.0002222833,0.001688382,0.0001133734,0.00001127039],"category_scores_gemma":[0.00009544172,0.000178281,0.00008514558,0.0006241254,0.00003308059,0.0002850977,0.001559157,0.0002452226,0.0000117752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008374145,"about_ca_system_score_gemma":0.0001986642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007064607,"about_ca_topic_score_gemma":0.0004713462,"domain_scores_codex":[0.9977222,0.0002934807,0.0007205303,0.0006151776,0.0002086866,0.0004399038],"domain_scores_gemma":[0.9982743,0.0002163328,0.0003241535,0.001010892,0.0001238768,0.00005044543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006005405,0.0002554049,0.00997114,0.002154348,0.0004368644,0.00004281219,0.01096576,0.000007566381,0.0007664684,0.762926,0.04323914,0.1691744],"study_design_scores_gemma":[0.007092986,0.0009167861,0.04599608,0.02200385,0.0002701835,0.0002101203,0.04215709,0.5783184,0.01837789,0.01726813,0.2647926,0.002595936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03328178,0.004417163,0.9524211,0.002085998,0.004195341,0.0003296893,0.00001055989,0.0004176611,0.002840658],"genre_scores_gemma":[0.9763094,0.00004271294,0.02267858,0.0003889611,0.0001781468,0.00000878032,0.00003537278,0.000009194163,0.0003488646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9430276,"threshold_uncertainty_score":0.727009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03555647777932723,"score_gpt":0.326757769567209,"score_spread":0.2912012917878818,"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."}}