{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0083153,0.0001753339,0.0002670542,0.001383325,0.007158912,0.0001471527,0.0004680853,0.0001862738,0.00004126474],"category_scores_gemma":[0.0002513233,0.0001527642,0.0000493732,0.002177094,0.0006874929,0.0003879098,0.00006516566,0.002222963,0.0001166762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008455505,"about_ca_system_score_gemma":0.001151738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004469084,"about_ca_topic_score_gemma":0.0002482768,"domain_scores_codex":[0.9950761,0.001278108,0.0007683138,0.0007065039,0.001159497,0.001011457],"domain_scores_gemma":[0.9962935,0.001143765,0.0001163203,0.000451169,0.001732397,0.0002628724],"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":[0.00008292273,0.0001864551,0.06040758,0.0007366638,0.0000519587,0.000001979432,0.006323825,0.8185546,0.001928342,0.003354205,0.0003165396,0.1080549],"study_design_scores_gemma":[0.00006470368,0.0001965162,0.0001882649,0.0006654288,0.00000952471,7.342796e-7,0.001764179,0.992758,0.002143887,0.0005728809,0.00153153,0.0001043285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3057562,0.0003393066,0.6902354,0.0003120046,0.001539622,0.001138023,0.00002663703,0.0001239391,0.0005289358],"genre_scores_gemma":[0.996378,0.0005938816,0.001159729,0.000121986,0.000149969,0.0001600946,0.000001930651,0.00001668701,0.001417722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6906219,"threshold_uncertainty_score":0.9941337,"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."}}