{"id":"W7126013704","doi":"10.17863/cam.125176","title":"Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine.","year":2023,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; Wellcome Trust; Hong Kong Government; National Heart, Lung, and Blood Institute; Trond Mohn stiftelse; Sun Pharma; American Heart Association; Novo Nordisk Fonden; Pfizer; Diabetesforbundet; European Association for the Study of Diabetes; Australian Government; Lunds Universitet; Norges Forskningsråd; National Health Research Institutes; Novo Nordisk; Innovation and Technology Commission; Ministero della Salute; Albert-Ludwigs-Universität Freiburg; Moonshot Research and Development Program; Canadian Institutes of Health Research; Diabetes UK; National Institute for Health and Care Research; John Templeton Foundation; British Heart Foundation; Boettcher Foundation; Diabetes Research Connection; National Institutes of Health; Bigfoot Biomedical; Dexcom; AstraZeneca; Research England; Insulet Corporation; Eli Lilly and Company; Immune Tolerance Network; MannKind Corporation; Doris Duke Charitable Foundation; Pediatric Endocrine Society; KU Leuven; Hamilton Health Sciences; Center for Duchenne Muscular Dystrophy, University of California, Los Angeles; Medical Research Council; Leona M. and Harry B. Helmsley Charitable Trust; U.S. Department of Veterans Affairs; Daiichi Sankyo Europe; Yale University; National Health and Medical Research Council; National Institute of Allergy and Infectious Diseases; Sanofi; American Diabetes Association","keywords":"Precision medicine; MEDLINE; Common cause and special cause; Presentation (obstetrics); Key (lock); Evidence-based medicine; Alternative medicine; Systematic review","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126767,0.00006154548,0.0001712852,0.0001380419,0.0001154579,0.00000687837,0.0003511866,0.00005246494,0.00001500883],"category_scores_gemma":[0.0002511078,0.00005446073,0.00006597974,0.0001231648,0.0002321537,0.00008411358,0.00008898868,0.0001052621,0.000001183193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009762441,"about_ca_system_score_gemma":0.00006803993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009302874,"about_ca_topic_score_gemma":0.00003263144,"domain_scores_codex":[0.9991257,0.0001053773,0.000225469,0.0001997396,0.0002464638,0.000097225],"domain_scores_gemma":[0.9970802,0.002199331,0.0002480431,0.0002663617,0.0001569388,0.00004913739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002730294,0.00007195363,0.05759683,0.0004224977,0.0002784393,0.0001308331,0.00449719,0.000298438,0.0003884864,0.07177654,0.08540211,0.7788637],"study_design_scores_gemma":[0.002176634,0.0009306443,0.5334404,0.0002976648,0.00006112745,0.00003281086,0.002796182,0.300424,0.0001335682,0.001249451,0.1582357,0.0002218886],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193412,0.0001636933,0.01677573,0.0588404,0.0008629517,0.0003446912,0.00004565508,0.00007824536,0.00354741],"genre_scores_gemma":[0.9945439,0.0001926603,0.002738939,0.0001489751,0.00005621293,4.85733e-7,0.00002202136,0.000004541427,0.002292272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7786418,"threshold_uncertainty_score":0.2220844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185436188177929,"score_gpt":0.3382285839715968,"score_spread":0.2196849651538038,"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."}}