{"id":"W3184242466","doi":"10.2147/ijgm.s321063","title":"Adapting Diabetes Risk Scores for Jordan","year":2021,"lang":"en","type":"article","venue":"International Journal of General Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Framingham Risk Score; Logistic regression; Risk assessment; Internal medicine; Type 2 diabetes; Receiver operating characteristic; Endocrinology; Disease","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":[0.004235212,0.000671995,0.0004432808,0.003228089,0.0003604046,0.0009717196,0.0005696781,0.0003021395,0.003253083],"category_scores_gemma":[0.01247376,0.0001556098,0.000883763,0.002258692,0.0001843536,0.0004986397,0.001093925,0.0007422182,0.001144769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006980085,"about_ca_system_score_gemma":0.001373778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004072941,"about_ca_topic_score_gemma":0.004784938,"domain_scores_codex":[0.9983956,0.0006542972,0.000275129,0.000134771,0.0004416185,0.00009843069],"domain_scores_gemma":[0.9961035,0.0008745707,0.0009250293,0.0002397094,0.001547011,0.0003101333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004426058,0.0003498235,0.7753717,0.00018202,0.0001484189,0.0001992441,0.0004631432,0.001959339,0.0003823288,0.0009625653,0.009547817,0.209991],"study_design_scores_gemma":[0.0003182152,0.0009529532,0.9298654,0.0005284988,0.0002371149,0.001285229,0.001446133,0.01530831,0.00146078,0.004259888,0.0442471,0.000090343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395632,0.001798377,0.01749395,0.002022604,0.000445786,0.001921077,0.009973974,0.0006612716,0.02611987],"genre_scores_gemma":[0.9039695,0.001597189,0.07719148,0.0003808834,0.000195209,0.001597181,0.010356,0.000126343,0.004586286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004235212,"threshold_uncertainty_score":0.02239817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908560427383788,"score_gpt":0.2966691180019665,"score_spread":0.2775835137281286,"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."}}