{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02670419,0.0009009585,0.001035317,0.004722478,0.001551207,0.002174877,0.00334541,0.0007731565,0.0008001869],"category_scores_gemma":[0.04577536,0.0003072617,0.0009772833,0.006589806,0.001006824,0.0006457926,0.001824267,0.001233206,0.0002867701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009022031,"about_ca_system_score_gemma":0.01118391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5966838,"about_ca_topic_score_gemma":0.5658853,"domain_scores_codex":[0.9802732,0.004258041,0.002044208,0.003548327,0.009056992,0.0008192348],"domain_scores_gemma":[0.9632166,0.004962558,0.004723111,0.003563565,0.02273447,0.0007997649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004908352,0.0000858416,0.7964183,0.0007432114,0.0009248198,0.0001692285,0.00159818,0.006416927,0.00367975,0.008524148,0.01758944,0.1633594],"study_design_scores_gemma":[0.00004128719,0.0002422672,0.9508411,0.000408735,0.0003586106,0.0003399641,0.0005802715,0.009563852,0.005612257,0.002521748,0.02938219,0.0001077865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.454965,0.04903719,0.4179374,0.002772557,0.0008717849,0.001920749,0.04674378,0.00222292,0.02352873],"genre_scores_gemma":[0.7987201,0.003510981,0.1781926,0.0008691013,0.000120887,0.0006779977,0.01615674,0.0002638697,0.001487739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4033162,"threshold_uncertainty_score":0.8113828,"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."}}