{"id":"W1912096016","doi":"10.1111/j.1464-5491.2010.03065.x","title":"Prediction models for incident Type 2 diabetes mellitus
in the older population: KORA S4/F4 cohort study","year":2010,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"Deutsche Forschungsgemeinschaft","keywords":"Medicine; Cohort; Diabetes mellitus; Type 2 Diabetes Mellitus; Cohort study; Population; Type 2 diabetes; Internal medicine; Gerontology; Endocrinology; Environmental health","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":[0.004686064,0.001412399,0.001213831,0.0008961786,0.0005602436,0.001202058,0.001104351,0.0006406784,0.001982139],"category_scores_gemma":[0.005846614,0.0006800882,0.002526741,0.0007327037,0.000264123,0.0004492713,0.0007801671,0.001299679,0.0005729737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006260274,"about_ca_system_score_gemma":0.00092896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806024,"about_ca_topic_score_gemma":0.007633864,"domain_scores_codex":[0.9991385,0.0004388729,0.00006144286,0.0001745793,0.00008852364,0.00009811708],"domain_scores_gemma":[0.9976354,0.0007593611,0.0004634068,0.0005173087,0.000314651,0.0003098107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00212742,0.0002477482,0.9871883,0.00004708472,0.001683118,0.0003937186,0.0002400413,0.002649192,0.0003101407,0.0001278556,0.001095045,0.00389032],"study_design_scores_gemma":[0.0006609512,0.0005094145,0.9449483,0.00007494384,0.001663566,0.0006475323,0.0006709858,0.04882752,0.0001653185,0.0008284479,0.0009430256,0.00005998063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979444,0.0001483904,0.0005950385,0.00007803592,0.00002724104,0.00002384994,0.001013529,0.00001930585,0.000150239],"genre_scores_gemma":[0.9956765,0.0001895343,0.001207834,0.00003682144,0.00002940562,0.00008239895,0.002286997,0.00001689899,0.0004735499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806024,"threshold_uncertainty_score":0.03591025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202582793826719,"score_gpt":0.2706025144269832,"score_spread":0.2485766864887161,"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."}}