{"id":"W4413438807","doi":"10.62051/nzr6tw29","title":"Diabetes Risk Prediction Model Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"Transactions on Computer Science and Intelligent Systems Research","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diabetes mellitus; Computer science; Machine learning; Artificial intelligence; Medicine","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":[0.002476006,0.0006769907,0.0008336953,0.00143687,0.000272321,0.0009703674,0.000939686,0.0005617893,0.001234008],"category_scores_gemma":[0.00455422,0.0002060268,0.001019184,0.0009784503,0.0001268527,0.0005648297,0.0004114933,0.0009355507,0.0008199465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005416449,"about_ca_system_score_gemma":0.001076317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008123072,"about_ca_topic_score_gemma":0.004183879,"domain_scores_codex":[0.9992995,0.0002663563,0.00006054413,0.0001496865,0.000144526,0.00007935738],"domain_scores_gemma":[0.9987265,0.000786222,0.0001100597,0.00005235395,0.0002907506,0.00003407705],"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":[0.0005223347,0.0005305212,0.05411518,0.0001849178,0.0003526505,0.0003317243,0.00007492619,0.6569273,0.00152911,0.002388335,0.007731147,0.2753119],"study_design_scores_gemma":[0.00001217673,0.00005066203,0.001809914,0.00001951963,0.00003325391,0.00004852556,0.00001106284,0.995906,0.000313913,0.001224747,0.0005605294,0.000009657847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2770422,0.002940198,0.7061652,0.001798436,0.0003685805,0.0003970141,0.003228191,0.003261378,0.004798825],"genre_scores_gemma":[0.8837811,0.0008251696,0.1099746,0.0002064847,0.0001436681,0.0003021875,0.002753215,0.00004657944,0.0019669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008123072,"threshold_uncertainty_score":0.01615155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2681865827769257,"score_gpt":0.5068459250151395,"score_spread":0.2386593422382138,"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."}}