{"id":"W6901520410","doi":"10.60692/gw52k-b8c71","title":"Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Newborn Screening Ontario; University of Ottawa; Children's Hospital of Eastern Ontario; Ottawa Hospital","funders":"","keywords":"Heel; Gestational age; Cohort; Cord blood; Pregnancy; Cohort study; Prospective cohort study; Estimation","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":[0.03066693,0.001607409,0.001064681,0.001479526,0.0006521145,0.001852393,0.002076688,0.001454991,0.0009658603],"category_scores_gemma":[0.06251793,0.0005727141,0.001342117,0.0008967526,0.0008106318,0.001194401,0.002076752,0.002481688,0.0006025488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619526,"about_ca_system_score_gemma":0.003928378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481205,"about_ca_topic_score_gemma":0.00773829,"domain_scores_codex":[0.9925127,0.004586899,0.0006674649,0.001223517,0.0007334661,0.0002760613],"domain_scores_gemma":[0.9618128,0.02709055,0.00186938,0.002614245,0.006264672,0.0003484705],"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":[0.0008831961,0.0004531913,0.1033241,0.0001947827,0.0007831093,0.0001768285,0.0002680831,0.7218884,0.003133502,0.002345782,0.002789151,0.1637599],"study_design_scores_gemma":[0.00004845283,0.0001053298,0.005393271,0.00004555818,0.00003681238,0.00004276571,0.00004674333,0.9906746,0.001825523,0.001189436,0.0005745579,0.00001692725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3624226,0.001198876,0.6285882,0.0009470136,0.0001479705,0.0006017946,0.001285093,0.002844217,0.001964254],"genre_scores_gemma":[0.7404326,0.0003073486,0.2537684,0.0003989121,0.0000408821,0.0007185437,0.003251118,0.0001999268,0.0008823299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03066693,"threshold_uncertainty_score":0.1621842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534655754686269,"score_gpt":0.3383768670086313,"score_spread":0.1849112915400044,"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."}}