{"id":"W4296025051","doi":"10.12688/gatesopenres.13131.2","title":"External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants","year":2021,"lang":"en","type":"preprint","venue":"Gates Open Research","topic":"Birth, Development, and Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; Newborn Screening Ontario; Children's Hospital of Eastern Ontario; Ontario Stroke Network; Ottawa Hospital; University of Ottawa","funders":"Bill and Melinda Gates Foundation","keywords":"Gestational age; Birth weight; Medicine; Population; Cohort; Low birth weight; Obstetrics; Demography; Pregnancy; Biology; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.04610584,0.001586688,0.001163025,0.001109781,0.00082432,0.001886873,0.002670262,0.00102657,0.00143492],"category_scores_gemma":[0.07160699,0.000528594,0.002175731,0.0009357067,0.001193419,0.0008833921,0.002438375,0.002306245,0.0006949946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002902039,"about_ca_system_score_gemma":0.005472793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1200663,"about_ca_topic_score_gemma":0.0594865,"domain_scores_codex":[0.9913254,0.005959083,0.0004857202,0.001253876,0.000614378,0.0003615175],"domain_scores_gemma":[0.9442918,0.03868834,0.003210723,0.004352979,0.008565154,0.0008910263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002692743,0.0003244246,0.6117797,0.0002442375,0.003145693,0.0002951656,0.0004110082,0.3330812,0.0007746836,0.001267793,0.005480376,0.04050277],"study_design_scores_gemma":[0.000143147,0.0003675224,0.09420179,0.0003371692,0.0006996226,0.0001457879,0.0002892507,0.8979467,0.001926925,0.001484009,0.002383283,0.00007486999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537512,0.001628243,0.03808388,0.000905831,0.0001533929,0.000170054,0.00240771,0.0003919926,0.002507649],"genre_scores_gemma":[0.9859694,0.0002248133,0.008258916,0.0002188823,0.0000297887,0.0001081816,0.004418024,0.00007146872,0.0007006794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1200663,"threshold_uncertainty_score":0.243834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2031240169796311,"score_gpt":0.427449674996679,"score_spread":0.224325658017048,"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."}}