{"id":"W2118146937","doi":"10.2337/dc13-2359","title":"Use of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for Improving the Accuracy of the Risk Classification of Type 1 Diabetes","year":2014,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Cumulative incidence; Incidence (geometry); Diabetes mellitus; Type 2 diabetes; Internal medicine; Type 1 diabetes; Endocrinology; Cohort","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":[0.01523137,0.000780947,0.0008762839,0.00187823,0.0003249445,0.001052504,0.0005543039,0.0005617622,0.0008761407],"category_scores_gemma":[0.04959181,0.0002447811,0.0006956292,0.001726782,0.0003554932,0.0008214086,0.000828426,0.001031167,0.0002364492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286902,"about_ca_system_score_gemma":0.0005451564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871849,"about_ca_topic_score_gemma":0.002710058,"domain_scores_codex":[0.9860898,0.00991667,0.0008079525,0.001233011,0.001695298,0.0002572696],"domain_scores_gemma":[0.9619738,0.02195265,0.009171149,0.002663602,0.00316632,0.001072503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001115137,0.0000690132,0.9723573,0.00004988481,0.0003620792,0.00002579246,0.0000531096,0.000528305,0.0001495281,0.00006908181,0.00051489,0.02470588],"study_design_scores_gemma":[0.0002580279,0.00146543,0.9830384,0.00008065203,0.0006418054,0.0003170373,0.00006682687,0.01213442,0.0004168975,0.000526248,0.001023578,0.000030616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870055,0.003097902,0.004094467,0.0007176016,0.0001636513,0.0001094073,0.001081998,0.00007215764,0.003657307],"genre_scores_gemma":[0.9940038,0.0005155645,0.004187518,0.0001507026,0.0001590476,0.00004416185,0.0006521005,0.00001389002,0.0002731799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01523137,"threshold_uncertainty_score":0.08055216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720885676465865,"score_gpt":0.2451755198390535,"score_spread":0.2279666630743949,"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."}}