{"id":"W1952291801","doi":"10.1139/h11-059","title":"Pattern of growth of very low birth weight preterm infants, assessed using the WHO Growth Standards, is associated with neurodevelopment","year":2011,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto; Sunnybrook Health Science Centre","funders":"Centers for Disease Control and Prevention; Medela","keywords":"Toddler; Bayley Scales of Infant Development; Weight gain; Pediatrics; Medicine; Birth weight; Bronchopulmonary dysplasia; Head circumference; Child development; Low birth weight; Gestation; Cognition; Body weight; Psychology; Gestational age; Developmental psychology; Internal medicine; Pregnancy; Biology; Psychomotor learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139322,0.0002518061,0.0006534174,0.0001772635,0.0001995842,0.00001146595,0.0001674485,0.0001704456,0.00008395209],"category_scores_gemma":[0.00002214532,0.000184464,0.00007583162,0.0003142369,0.0003399987,0.0001199684,0.00004824629,0.0002520717,7.968596e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003086121,"about_ca_system_score_gemma":0.00008199381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163673,"about_ca_topic_score_gemma":0.000008156381,"domain_scores_codex":[0.9982911,0.0001927699,0.0005056543,0.0003464215,0.0003193761,0.0003447117],"domain_scores_gemma":[0.9986529,0.0001071851,0.0004894447,0.0002338207,0.0004314385,0.0000851955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00961714,0.005498956,0.01354639,0.005136192,0.001237874,0.00001193857,0.02797249,0.000001599043,0.893343,0.02827732,0.008347342,0.00700974],"study_design_scores_gemma":[0.01022719,0.0001711856,0.6373478,0.0005917491,0.0002541321,0.00001303509,0.0004658994,0.0001200684,0.3409466,0.005984566,0.003384728,0.0004931313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973648,0.0004044304,0.0002878229,0.0002163526,0.0002400354,0.0006805605,0.0003567506,0.00004378583,0.0004054446],"genre_scores_gemma":[0.9963566,0.000920902,0.0005554801,0.00193053,0.00008183139,0.00005210413,0.00006560783,0.00003241658,0.000004507908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6238014,"threshold_uncertainty_score":0.7522225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688607355300941,"score_gpt":0.245852922698008,"score_spread":0.2289668491449986,"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."}}