{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003156862,0.000703493,0.0006960469,0.0007357741,0.0006977687,0.00100821,0.0007331476,0.0007674829,0.0009863015],"category_scores_gemma":[0.005870598,0.00063854,0.001719194,0.000984239,0.0003385641,0.0005094815,0.0009129643,0.001124758,0.0001720287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000407544,"about_ca_system_score_gemma":0.0006807568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006795317,"about_ca_topic_score_gemma":0.005346052,"domain_scores_codex":[0.9985132,0.000573665,0.0001291472,0.0004344975,0.0001899462,0.0001595365],"domain_scores_gemma":[0.9958813,0.0009848402,0.00129683,0.001014336,0.0003360519,0.0004865765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004149507,0.00003882187,0.9983789,0.000007932838,0.0002637073,0.0000954451,0.00006928618,0.0000269596,0.0001140294,0.00001348481,0.00005853168,0.0005180118],"study_design_scores_gemma":[0.00004786461,0.0003917144,0.998239,0.00001334788,0.0002211435,0.0004261752,0.0001583637,0.0002925605,0.0000572754,0.00002817626,0.0001151243,0.00000919301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993062,0.0001804202,0.0001355001,0.00001728817,0.000007011507,0.00001236893,0.0002517738,0.000002273834,0.0000871306],"genre_scores_gemma":[0.9989889,0.0001416952,0.0002772411,0.00002516121,0.00001267106,0.00003299812,0.0004162064,0.00000343941,0.0001016666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006795317,"threshold_uncertainty_score":0.01669526,"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."}}