{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003473829,0.0003165969,0.0009295644,0.0002687017,0.0001403738,0.00003021146,0.000260115,0.0001872899,0.0001783091],"category_scores_gemma":[0.0008636839,0.0002052789,0.0001851077,0.0005557384,0.0001621658,0.0001463426,0.00004205848,0.0005493749,0.00001765391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000677006,"about_ca_system_score_gemma":0.00006584369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001935868,"about_ca_topic_score_gemma":0.0006119699,"domain_scores_codex":[0.9969265,0.0001879275,0.000699619,0.0005646151,0.00109468,0.0005266193],"domain_scores_gemma":[0.9979706,0.0002953955,0.0001443066,0.001095633,0.0002941935,0.0001998743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009244066,0.0009072587,0.9183718,0.0002663872,0.0005151712,0.00002467462,0.003326132,0.000168901,0.0002056042,0.0002530301,0.002974061,0.07289454],"study_design_scores_gemma":[0.004730495,0.001230682,0.9823949,0.0002139605,0.001032541,0.000008549077,0.0008491502,0.004944733,0.00010712,0.001322449,0.002963305,0.0002020662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877297,0.002228026,0.0002385692,0.001410633,0.001591582,0.005481211,0.00001196724,0.00009606987,0.001212228],"genre_scores_gemma":[0.9955887,0.0001208906,0.000226363,0.0008533554,0.001753481,0.0009037855,0.0003253951,0.00005515193,0.0001728993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07269248,"threshold_uncertainty_score":0.8371032,"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."}}