{"id":"W4417444318","doi":"10.2196/79166","title":"Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Work (physics); Health data; Data security; Development (topology); Ensemble learning; Access control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006705117,0.0008263123,0.001401492,0.0006442426,0.001168441,0.00162686,0.00192088,0.001422391,0.001801146],"category_scores_gemma":[0.01420029,0.0003702549,0.001109649,0.0005815013,0.001143147,0.002208021,0.003619957,0.002190272,0.0002781699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198882,"about_ca_system_score_gemma":0.0043055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088787,"about_ca_topic_score_gemma":0.008428182,"domain_scores_codex":[0.9976163,0.0008880689,0.0001307774,0.000492358,0.0004917374,0.0003807924],"domain_scores_gemma":[0.9916999,0.004975642,0.0005682979,0.0009170682,0.001395135,0.0004439779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001357982,0.0000651513,0.002170373,0.00002831486,0.00004692578,0.0000806587,0.00006721846,0.9577463,0.000531144,0.007210526,0.0006773688,0.03124014],"study_design_scores_gemma":[0.000006144415,0.000009979031,0.00005071508,0.000002574446,0.000003389262,0.000007635867,0.000006445732,0.9971381,0.0001472058,0.002565044,0.00006105249,0.000001762894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05643868,0.0003087667,0.9401135,0.0009054053,0.000049086,0.0001273526,0.000114163,0.0007232512,0.001219828],"genre_scores_gemma":[0.8485723,0.0001826169,0.1494834,0.000247759,0.00004886524,0.0001822767,0.0002852279,0.0000571261,0.0009405243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01088787,"threshold_uncertainty_score":0.03546047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149806489338723,"score_gpt":0.2717891570165762,"score_spread":0.260291092123189,"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."}}