{"id":"W2948413875","doi":"10.2337/db19-1615-p","title":"1615-P: A Multicountry Trend Analysis of Diabetes Incidence","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Incidence (geometry); Geography; Population; Confidence interval; Trend analysis; Medicine; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006053765,0.0006855162,0.001067674,0.008087687,0.0004499757,0.001164117,0.001167582,0.0005866698,0.006964874],"category_scores_gemma":[0.01627845,0.0005501846,0.003501227,0.01280443,0.000195073,0.001245613,0.002061399,0.00110775,0.001507749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006844664,"about_ca_system_score_gemma":0.001806055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298873,"about_ca_topic_score_gemma":0.01021996,"domain_scores_codex":[0.9949714,0.002172036,0.0007558662,0.0009609449,0.0007368007,0.0004028506],"domain_scores_gemma":[0.9937446,0.001874031,0.001584782,0.001373364,0.001146521,0.0002767331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001319717,0.0002904038,0.8355722,0.001673043,0.006710605,0.0005129323,0.001279898,0.004349509,0.001816337,0.002208784,0.02968363,0.114583],"study_design_scores_gemma":[0.0001351581,0.0009054259,0.9334954,0.000284922,0.001385734,0.0007324981,0.0008914272,0.02177724,0.001122464,0.001055316,0.03813422,0.00008011594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.73973,0.002257717,0.07805363,0.0007805096,0.0005185261,0.003356942,0.162318,0.003221024,0.009763607],"genre_scores_gemma":[0.7783796,0.0007201577,0.09824403,0.0001891676,0.0002262287,0.007196994,0.106503,0.0007207231,0.007820115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01298873,"threshold_uncertainty_score":0.03201574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006955625311195813,"score_gpt":0.2334045588526888,"score_spread":0.226448933541493,"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."}}