{"id":"W4404849295","doi":"10.1109/gdigihealth.kee62309.2024.10761936","title":"Predicting Diabetes Status Using Deep Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Machine learning; Diabetes mellitus; 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":[0.0007351594,0.0005419357,0.0003504126,0.001242376,0.0001923854,0.000750486,0.0004297845,0.0006305601,0.001843847],"category_scores_gemma":[0.002208286,0.0001546014,0.0005660278,0.0006918718,0.0001176519,0.0004418091,0.0005581426,0.001030923,0.0005094747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005932568,"about_ca_system_score_gemma":0.0005465705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220326,"about_ca_topic_score_gemma":0.01024078,"domain_scores_codex":[0.9997355,0.0000617015,0.0000212396,0.00005827791,0.00004298455,0.00008026062],"domain_scores_gemma":[0.9994085,0.0003041799,0.00006694779,0.00003634875,0.0001240961,0.00005993965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001100963,0.001259209,0.2402979,0.0001826298,0.000290429,0.0005242932,0.0001411049,0.2529325,0.004250651,0.001191443,0.01155525,0.4862737],"study_design_scores_gemma":[0.00001486173,0.00009674288,0.02148294,0.00004981644,0.00003410516,0.00006065318,0.00006052266,0.9741374,0.001163833,0.001928045,0.0009552966,0.00001583794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8718555,0.00295746,0.1065853,0.002570831,0.0004068479,0.0001227485,0.006125488,0.001322072,0.008053807],"genre_scores_gemma":[0.9832953,0.0005105095,0.01138019,0.0002099095,0.00007202082,0.00002898797,0.002925545,0.00001187883,0.001565681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01220326,"threshold_uncertainty_score":0.02426451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1795188479791873,"score_gpt":0.5039455256757206,"score_spread":0.3244266776965333,"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."}}