{"id":"W2067620534","doi":"10.1542/peds.2007-2564","title":"Can Birth Weight Standards Based on Healthy Populations Improve the Identification of Small-for-Gestational-Age Newborns at Risk of Adverse Neonatal Outcomes?","year":2009,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Birth, Development, and Health","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Medicine; Gestational age; Small for gestational age; Intraventricular hemorrhage; Gestation; Population; Birth weight; Obstetrics; Low birth weight; Pediatrics; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009276909,0.0001456203,0.0002937469,0.0002490271,0.0002178587,0.000004404327,0.000104294,0.00009527682,0.0000226201],"category_scores_gemma":[0.0006077722,0.0001080456,0.0001289278,0.0003873587,0.00004538169,0.00003495647,0.00001234291,0.000179742,0.000002624715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349333,"about_ca_system_score_gemma":0.001174379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000208912,"about_ca_topic_score_gemma":0.0006470025,"domain_scores_codex":[0.9980915,0.00006268504,0.0007585217,0.0002330848,0.0006165995,0.0002376704],"domain_scores_gemma":[0.9980367,0.0002588221,0.0007157889,0.0003637632,0.0004798862,0.0001450586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001074459,0.0003937283,0.9581442,0.0007313437,0.00003490299,0.000004067418,0.001368429,0.0006579697,0.0001625467,0.02820569,0.001849497,0.007373107],"study_design_scores_gemma":[0.002090352,0.0005076752,0.9900444,0.00001282878,0.0001702822,0.000001061705,0.000092763,0.00186188,0.0002029195,0.003870738,0.001035456,0.0001096433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714477,0.0001881609,0.01180285,0.00964324,0.0005691357,0.001621797,0.004312465,0.0000498251,0.0003648044],"genre_scores_gemma":[0.9893909,0.002617227,0.006010917,0.001080138,0.0001851581,0.00002576899,0.0005374454,0.00001887731,0.0001335823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03190014,"threshold_uncertainty_score":0.4405972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395812442814874,"score_gpt":0.3127647165006317,"score_spread":0.2888065920724829,"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."}}