{"id":"W3169266336","doi":"","title":"External validation of ELASTIC NET regression models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants [version 1; peer review: 1 approved, 3 approved with reservations]","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Stroke Network; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Gestational age; Elastic net regularization; Estimation; Regression; Pregnancy; Statistics; Genetics; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03117779,0.001784813,0.001238967,0.001050221,0.0007285161,0.002007863,0.002457177,0.001603756,0.003949183],"category_scores_gemma":[0.03779421,0.0005799038,0.001555036,0.0009707439,0.0009196181,0.001594649,0.002450113,0.002511313,0.002504501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007557941,"about_ca_system_score_gemma":0.001759284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008363799,"about_ca_topic_score_gemma":0.004974081,"domain_scores_codex":[0.9955433,0.002894749,0.0002028484,0.0008620113,0.0002731137,0.0002240393],"domain_scores_gemma":[0.9725496,0.02070088,0.001110152,0.002570971,0.002586825,0.0004816545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007034542,0.001038036,0.1819227,0.0005315712,0.002571695,0.0003409822,0.000391675,0.6767303,0.003175299,0.003939657,0.01142401,0.1108994],"study_design_scores_gemma":[0.0001795993,0.0003033463,0.02520378,0.000143423,0.000288386,0.0000699743,0.0001773086,0.9676173,0.002117525,0.002487959,0.001368198,0.00004315812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869329,0.001202039,0.1170354,0.0008569615,0.0004669802,0.0001650275,0.005078828,0.001633203,0.00423279],"genre_scores_gemma":[0.9659773,0.0001848209,0.01956691,0.0001635718,0.00007326814,0.0001482805,0.0104244,0.000359093,0.003102355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03117779,"threshold_uncertainty_score":0.1648859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04259162438376028,"score_gpt":0.2896573542645519,"score_spread":0.2470657298807916,"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."}}