{"id":"W2236657519","doi":"10.1373/clinchem.2015.240523","title":"Complex Reference Values for Endocrine and Special Chemistry Biomarkers across Pediatric, Adult, and Geriatric Ages: Establishment of Robust Pediatric and Adult Reference Intervals on the Basis of the Canadian Health Measures Survey","year":2015,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Health Canada; Hospital for Sick Children; Statistics Canada; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"National Health and Nutrition Examination Survey; Reference range; Biomarker; Medicine; Population; Reference values; Medical laboratory; Gerontology; Environmental health; Internal medicine; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004655043,0.0002448823,0.0007997511,0.00002043534,0.0001767954,0.00005930128,0.0002719807,0.0002431273,0.0000386195],"category_scores_gemma":[0.02781184,0.0001562291,0.0001143379,0.0002736317,0.0004909217,0.00006029057,0.0001686318,0.000568145,4.863942e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007965654,"about_ca_system_score_gemma":0.0009451082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007797906,"about_ca_topic_score_gemma":0.009628121,"domain_scores_codex":[0.9969205,0.0004137959,0.001328371,0.0005421147,0.0004242167,0.0003710212],"domain_scores_gemma":[0.9921103,0.004581461,0.0009410498,0.0005711805,0.001092668,0.0007034116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001928223,0.0003557196,0.9751601,0.001499227,0.0001455273,0.000003309734,0.0001998644,0.000001130204,0.0001103472,0.00004360396,0.0176561,0.002896889],"study_design_scores_gemma":[0.006788631,0.0007349228,0.9861444,0.000159849,0.0004707824,0.00001468731,0.00111891,0.0001166414,0.0009854174,0.000139336,0.002972366,0.0003540624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903399,0.0008329375,0.000002438179,0.006476672,0.0001038207,0.0005178068,0.001341238,0.00001048811,0.0003747452],"genre_scores_gemma":[0.99514,0.00262254,0.0001485258,0.000952507,0.0009114397,0.0000182558,0.00009057498,0.0000175924,0.00009852346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0231568,"threshold_uncertainty_score":0.9988093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2585927713237982,"score_gpt":0.4233681119843054,"score_spread":0.1647753406605073,"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."}}