{"id":"W3111274704","doi":"10.1371/journal.pmed.1003477","title":"Thresholds of glycemia, insulin therapy, and risk for severe retinopathy in premature infants: A cohort study","year":2020,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"CHIST-ERA; Institut pour la Recherche en Santé Publique; Agence Régionale de Santé Île-de-France; Caisse nationale de solidarité pour l'autonomie; Institut National de la Santé et de la Recherche Médicale; Equipex; Conseil Régional des Pays de la Loire; Agence Nationale de la Recherche; Institut National Du Cancer","keywords":"Medicine; Retinopathy of prematurity; Gestational age; Odds ratio; Cohort; Pediatrics; Cohort study; Internal medicine; Birth weight; Logistic regression; Pregnancy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007520618,0.00031025,0.001320026,0.0001489498,0.00006074883,0.000005680748,0.0001583282,0.0001659828,0.00004437517],"category_scores_gemma":[0.003508922,0.000219583,0.00006553812,0.0003838426,0.0002495717,0.00007203779,0.0001090877,0.0005432828,0.000002204696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003381049,"about_ca_system_score_gemma":0.00005547243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146901,"about_ca_topic_score_gemma":0.00005199789,"domain_scores_codex":[0.9976542,0.0001206295,0.0007319785,0.0005614231,0.0006370881,0.0002946723],"domain_scores_gemma":[0.9984319,0.0004104449,0.0003085602,0.0004024011,0.0002408285,0.0002059315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0045436,0.0005691352,0.9640248,0.0007523691,0.0004432148,0.00005821761,0.0243358,9.662641e-7,0.002129184,0.00001054261,0.001518964,0.001613229],"study_design_scores_gemma":[0.01821692,0.007593138,0.9645741,0.001117939,0.0006236103,0.00003823474,0.005832548,0.0003303917,0.0008859832,0.0001589939,0.000398724,0.0002294353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979419,0.008544493,0.000008295976,0.006067608,0.00008225161,0.004859149,0.00003646662,0.00007317472,0.00090955],"genre_scores_gemma":[0.9934986,0.004461362,0.0006209021,0.0007681873,0.0003502243,0.0001926309,0.00001899285,0.00004235965,0.00004676437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01850325,"threshold_uncertainty_score":0.8954334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419771787839427,"score_gpt":0.2794502773951665,"score_spread":0.2452525595167722,"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."}}