{"id":"W2173601296","doi":"10.6000/1929-6029.2015.04.04.5","title":"Recalibration in Validation Studies of Diabetes Risk Prediction Models: A Systematic Review","year":2015,"lang":"en","type":"review","venue":"International Journal of Statistics in Medical Research","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation; Carl and Emily Fuchs Foundation","keywords":"Predictive modelling; Population; Systematic review; Risk assessment; Computer science; Medicine; MEDLINE; Machine learning; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03120165,0.0002485266,0.003732933,0.001717156,0.00002243276,0.00003350663,0.0006489799,0.0003216758,0.00005257646],"category_scores_gemma":[0.06912841,0.0001760779,0.000435481,0.0007747316,0.0002887302,0.0002263633,0.0001698685,0.00208585,0.000008974142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084381,"about_ca_system_score_gemma":0.002296485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001708882,"about_ca_topic_score_gemma":0.00006824027,"domain_scores_codex":[0.9851644,0.003247482,0.003602421,0.0002714322,0.007413058,0.0003011752],"domain_scores_gemma":[0.9898244,0.003338975,0.001516797,0.0003336357,0.004717371,0.0002688556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00002637099,0.0002204097,0.00003537639,0.4153005,0.001464805,0.0002545734,0.0001459893,0.00002109887,4.072378e-8,0.0002379468,0.001947524,0.5803453],"study_design_scores_gemma":[0.001176773,0.0004382598,0.00002611908,0.9725226,0.001809589,0.000118061,0.0001493113,0.00181758,0.000001579378,0.006748701,0.01505867,0.000132727],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006034031,0.9949973,0.002148212,0.0001663652,0.0005634273,0.001661645,0.0002739535,0.000005195879,0.0001235479],"genre_scores_gemma":[0.0002145991,0.9972455,0.001638891,0.0000313909,0.0004338599,0.0001625236,0.0001969485,0.00003672675,0.00003954403],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5802126,"threshold_uncertainty_score":0.9975818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360902086834678,"score_gpt":0.5096498530748312,"score_spread":0.2735596443913634,"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."}}