{"id":"W7093898375","doi":"","title":"Pediatric Reference Intervals for Biochemical Markers: Gaps and Challenges, Recent National Initiatives and Future Perspectives","year":2017,"lang":"en","type":"article","venue":"PubMed Central","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reference values; MEDLINE; Mandate; Test (biology); Confidence interval; Health care; Medical literature; Reference data; Biobank; Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009101608,0.0001260834,0.0002525437,0.00003662726,0.0001550959,0.00009372527,0.00008251971,0.0001259649,0.00004044369],"category_scores_gemma":[0.00444245,0.00010365,0.00004518865,0.00002545324,0.000111597,0.0003104233,0.00006083948,0.000218054,9.023021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007264124,"about_ca_system_score_gemma":0.0001279507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003063291,"about_ca_topic_score_gemma":0.000008863603,"domain_scores_codex":[0.998737,0.00007351145,0.0002236701,0.0003476753,0.0001902849,0.0004278868],"domain_scores_gemma":[0.9985837,0.0004259852,0.0002045631,0.0001755512,0.0002338173,0.000376358],"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":[0.01398302,0.002631904,0.2403435,0.003268614,0.001419492,0.00005080983,0.009604202,1.138106e-7,0.0005128714,0.1946269,0.01032187,0.5232367],"study_design_scores_gemma":[0.002510647,0.0001437154,0.8840666,0.00002049807,0.0001279718,0.000008824216,0.001437585,0.00002038366,0.00003373722,0.0006034496,0.1108993,0.0001272867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.793071,0.06882482,0.00001679597,0.1289765,0.00058555,0.001301947,0.0002189034,0.00004727462,0.006957229],"genre_scores_gemma":[0.8679671,0.1281132,0.0004619113,0.0004515113,0.002845285,0.0001009643,0.00001765806,0.00001110968,0.00003132202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6437231,"threshold_uncertainty_score":0.5318348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1294852421357347,"score_gpt":0.3698069760744119,"score_spread":0.2403217339386771,"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."}}