{"id":"W4391811410","doi":"10.2196/42271","title":"Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; U.S. National Library of Medicine","keywords":"Neonatal intensive care unit; Medicine; Gestational age; Intensive care; Pediatrics; Intensive care unit; Gestation; Medical record; Intensive care medicine; Obstetrics; Pregnancy; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003608478,0.0006973935,0.0006124317,0.001174428,0.000197526,0.000580251,0.0006184782,0.0004655613,0.0004397036],"category_scores_gemma":[0.01125177,0.0001391931,0.0007089684,0.0005320939,0.0001198431,0.0004105387,0.0004165274,0.000718374,0.0001489046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006098072,"about_ca_system_score_gemma":0.001171989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00867357,"about_ca_topic_score_gemma":0.005234987,"domain_scores_codex":[0.9993507,0.0003557887,0.00004922624,0.0001075786,0.00007831038,0.00005848175],"domain_scores_gemma":[0.994083,0.004826329,0.0003131693,0.0001129091,0.0005190094,0.0001455458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009962058,0.000762205,0.430378,0.0001442213,0.0005325734,0.0002107543,0.0001356346,0.4035848,0.0008374234,0.0004072093,0.002182174,0.1598288],"study_design_scores_gemma":[0.0000214793,0.0003659652,0.02263824,0.00003286829,0.00007597917,0.00006260029,0.00004136667,0.97574,0.0004540154,0.0003914716,0.0001650938,0.00001100967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588679,0.001199117,0.03737234,0.0005160515,0.00004890146,0.0001208869,0.000702118,0.0002685221,0.00090406],"genre_scores_gemma":[0.9773348,0.0003644811,0.02108391,0.00004615528,0.00002370242,0.00006154209,0.0008607507,0.00001130329,0.0002134382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00867357,"threshold_uncertainty_score":0.01908368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102167565130201,"score_gpt":0.4003927391567642,"score_spread":0.2901759826437441,"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."}}