{"id":"W4389507120","doi":"10.1002/ajhb.24030","title":"Harmonization of four biomarkers across nine nationally representative studies of older persons","year":2023,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Economic and Social Research Council; Office of the First Minister and Deputy First Minister; Queen's University; Public Health Agency; Science Foundation Ireland; Queen's University Belfast; Health and Social Care Research and Development Division; National Institute for Health and Care Research; Ministério da Saúde; Department of Foreign Affairs and Trade, Australian Government; United Nations Population Fund; Australian Government; Government of the United Kingdom; United Kingdom Clinical Research Collaboration; Wellcome Trust","keywords":"Harmonization; Biomarker; Medicine; Population; Ranking (information retrieval); Internal medicine; Environmental health; Biology; Computer science","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":[0.001237787,0.00007998759,0.000624128,0.0001517567,0.00005391952,0.000002845616,0.0000904139,0.00003560433,0.00007068213],"category_scores_gemma":[0.002419215,0.00005895178,0.0001452214,0.0004906137,0.000838196,0.00006765588,0.00003985446,0.0001489458,0.000002338695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002369436,"about_ca_system_score_gemma":0.0000958717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003734784,"about_ca_topic_score_gemma":0.00001826405,"domain_scores_codex":[0.9984933,0.0003241198,0.0007635154,0.0001194762,0.0001688945,0.0001306728],"domain_scores_gemma":[0.9958135,0.001306027,0.001621005,0.0001183321,0.001078857,0.00006227169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002865584,0.0006214544,0.5990591,0.0001676019,0.007186892,0.0001256657,0.01614725,0.00003547524,0.3376801,0.002617857,0.009810363,0.02368267],"study_design_scores_gemma":[0.007539945,0.01301162,0.8951159,0.0003392826,0.0006928991,0.0001213654,0.07318526,0.000117523,0.006509874,0.0009308669,0.002190996,0.0002444711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940088,0.0003375923,0.0001454937,0.005179328,0.000111647,0.00009193146,0.0000445132,0.000007176277,0.00007352218],"genre_scores_gemma":[0.9986467,0.0001982233,0.0005771505,0.0002907334,0.0001207746,0.000001777857,0.00001403905,0.000008257479,0.0001422939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3311702,"threshold_uncertainty_score":0.3088368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1405891489016526,"score_gpt":0.4959011252635467,"score_spread":0.3553119763618941,"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."}}