{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004192794,0.0007328486,0.0003797515,0.0004468038,0.0003304512,0.0008654382,0.0009323233,0.0004669974,0.0007828659],"category_scores_gemma":[0.01700963,0.0002234483,0.0003465431,0.0005142615,0.0003143738,0.0004228496,0.0007852191,0.0004752183,0.0006340762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797079,"about_ca_system_score_gemma":0.001984588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1208761,"about_ca_topic_score_gemma":0.06612175,"domain_scores_codex":[0.9983882,0.0008055826,0.0001244715,0.0003325076,0.0002620596,0.00008720445],"domain_scores_gemma":[0.9959216,0.001998085,0.0003523468,0.000464697,0.001148938,0.0001143479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002207712,0.0002466415,0.6265631,0.0002102368,0.000405473,0.00037248,0.0005837427,0.2487215,0.007434739,0.001559023,0.002728188,0.1089672],"study_design_scores_gemma":[0.0002181812,0.000647322,0.2157753,0.0001314128,0.0001596464,0.0002898782,0.0007756892,0.7585929,0.01621069,0.001125881,0.00598069,0.00009239653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605849,0.0003012454,0.03166468,0.0002143502,0.00003166691,0.0001255496,0.002459811,0.000518348,0.004099421],"genre_scores_gemma":[0.9882326,0.0001295607,0.008473195,0.00003876437,0.000002576106,0.00006474092,0.002297504,0.00003194167,0.000729057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208761,"threshold_uncertainty_score":0.2403451,"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."}}