{"id":"W2923579631","doi":"10.7554/elife.42627","title":"External validation of postnatal gestational age estimation using newborn metabolic profiles in Matlab, Bangladesh","year":2019,"lang":"en","type":"article","venue":"eLife","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Newborn Screening Ontario; University of Ottawa; Children's Hospital of Eastern Ontario; Ottawa Hospital","funders":"Bill and Melinda Gates Foundation","keywords":"Medicine; Gestational age; Heel; Cord blood; Obstetrics; Estimation; Population; Cord; Pediatrics; Pregnancy; Surgery; Internal medicine; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712011,0.00008551669,0.0002124404,0.0001189304,0.00002227505,0.000008259191,0.00004362721,0.0000476472,0.0001115951],"category_scores_gemma":[0.00008145136,0.00007787294,0.00004049487,0.0001383673,0.00002868064,0.0001724049,0.00002764889,0.00009133317,0.00003636323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002485301,"about_ca_system_score_gemma":0.00006846341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006824166,"about_ca_topic_score_gemma":0.000003818564,"domain_scores_codex":[0.9991784,0.00004017162,0.0002479015,0.0001318834,0.00028569,0.0001159489],"domain_scores_gemma":[0.9996232,0.00005526244,0.0001041056,0.0001204782,0.00006888316,0.00002811687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003791436,0.0002418597,0.8554077,0.0005963508,0.0001239963,0.00008094595,0.003354473,0.00447587,0.1207571,0.005130608,0.0001262318,0.009325762],"study_design_scores_gemma":[0.001284879,0.00005632921,0.8847728,0.0005974439,0.00005063173,0.00004044236,0.0001038831,0.008010056,0.1046102,0.000218759,0.0001588132,0.00009573389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957839,0.001111817,0.001520718,0.00009163813,0.0001065702,0.0003374704,0.00001847428,0.000020042,0.00100938],"genre_scores_gemma":[0.9736764,0.00004539358,0.02593318,0.00007265356,0.00006170906,0.00001009932,0.00008509659,0.000009783646,0.0001057242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02936519,"threshold_uncertainty_score":0.3175566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590482940259962,"score_gpt":0.298242643686354,"score_spread":0.2723378142837544,"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."}}