{"id":"W3168500641","doi":"10.2139/ssrn.3237697","title":"Postnatal Gestational Age Estimation Using Newborn Metabolic Profiles: A Validation Study in Matlab, Bangladesh","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Public Health; Children's Hospital of Eastern Ontario; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Estimation; Gestational age; Obstetrics; MATLAB; Medicine; Statistics; Computer science; Pregnancy; Mathematics; Engineering; Biology","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":[0.001432423,0.0006045105,0.0003966168,0.0004122014,0.0003689131,0.0005383937,0.0005722523,0.0004401699,0.001028507],"category_scores_gemma":[0.005430326,0.000253394,0.0004159297,0.0007574633,0.0003688705,0.0003944536,0.0005294891,0.0006255672,0.0007515022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005546094,"about_ca_system_score_gemma":0.0007818987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0290567,"about_ca_topic_score_gemma":0.02052923,"domain_scores_codex":[0.9994522,0.0002015659,0.00008579639,0.0001264151,0.00008344254,0.00005066348],"domain_scores_gemma":[0.9980227,0.000775402,0.0002754803,0.0003288025,0.0004947206,0.0001030617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001161938,0.0003908789,0.9506587,0.0001475822,0.0001655829,0.0007177433,0.002615546,0.00287398,0.003387176,0.0004124828,0.001072452,0.03639591],"study_design_scores_gemma":[0.0001159054,0.0008701228,0.9788198,0.00009274288,0.0002067581,0.001105484,0.003579095,0.009017631,0.002474904,0.0002578521,0.003414901,0.00004480431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963535,0.0001030937,0.001286543,0.00005135659,0.000008187259,0.00005124407,0.001117152,0.00001890857,0.00101008],"genre_scores_gemma":[0.9954734,0.0002306203,0.001730654,0.00002880908,0.000004978283,0.00008899356,0.00186516,0.00001278995,0.0005644967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0290567,"threshold_uncertainty_score":0.05777514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718231910243097,"score_gpt":0.3315305817753409,"score_spread":0.30434826267291,"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."}}