{"id":"W7125490738","doi":"10.1109/nkcon66957.2025.11345795","title":"Diagnosing the Future: Predicting Diabetes Onset Using Machine Learning and EHR","year":2025,"lang":"","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Diabetes mellitus; Feature (linguistics); MEDLINE; Training set","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":[0.001044133,0.0003723247,0.0004652379,0.001878982,0.0003174719,0.001580652,0.0003347017,0.0007858419,0.001679947],"category_scores_gemma":[0.006822749,0.0001913621,0.0005382429,0.001003306,0.0001211578,0.001147402,0.000489119,0.001146119,0.0004774891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004926855,"about_ca_system_score_gemma":0.000571402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029893,"about_ca_topic_score_gemma":0.01664302,"domain_scores_codex":[0.9995536,0.0001459077,0.00005422498,0.00008889415,0.00007795807,0.00007941057],"domain_scores_gemma":[0.9972728,0.001471214,0.0004783426,0.0001185484,0.0003661764,0.0002929286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000316145,0.0003221536,0.9667348,0.00003002571,0.00007693498,0.0001360026,0.00003697243,0.001747296,0.0002241906,0.0001857224,0.001375681,0.02881413],"study_design_scores_gemma":[0.00009324248,0.0004481598,0.7704874,0.0001747551,0.0003300048,0.0009421846,0.0005725284,0.2187299,0.00146528,0.003587232,0.003120526,0.00004884413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.977839,0.001848998,0.007891805,0.002525955,0.0001379171,0.00005514114,0.004834605,0.000141716,0.004724893],"genre_scores_gemma":[0.989489,0.000757842,0.006603057,0.0001610009,0.00009565445,0.00001355893,0.002331579,0.000008415814,0.0005398942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01029893,"threshold_uncertainty_score":0.02047801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09045881235992738,"score_gpt":0.4471107209890586,"score_spread":0.3566519086291312,"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."}}