{"id":"W4324087535","doi":"10.3389/fnut.2023.1101048","title":"Defining postnatal growth failure among preterm infants in Indonesia","year":2023,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Indonesia; Fakultas Kedokteran, Universitas Indonesia; Ministry of Health, British Columbia","keywords":"Medicine; Birth weight; Gestational age; Prospective cohort study; Percentile; Pediatrics; Weight gain; Weight for Age; Standard score; Malnutrition; Neonatal intensive care unit; Cohort; Body weight; Obstetrics; Pregnancy; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056338,0.0001818968,0.0003147285,0.001363112,0.0001221514,0.00005528648,0.0001618429,0.0002762801,0.00001280465],"category_scores_gemma":[0.00008118635,0.0002221111,0.00006876871,0.001354721,0.00007472665,0.0005181879,0.00003536808,0.0004696871,0.0000440304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823357,"about_ca_system_score_gemma":0.00002256633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001661263,"about_ca_topic_score_gemma":0.0002016659,"domain_scores_codex":[0.9981625,0.0001576622,0.0004659614,0.0003656594,0.0002694922,0.000578705],"domain_scores_gemma":[0.999514,0.00005423265,0.0001083924,0.000177297,0.00005208788,0.00009398739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005609024,0.0001693721,0.9223973,0.000876107,0.000005358601,0.0001422523,0.001327888,0.000007478465,0.0001861867,0.0003614263,0.07295948,0.001006325],"study_design_scores_gemma":[0.006130774,0.0001746366,0.9781992,0.002163379,0.000009625849,0.00002756079,0.001921465,0.003339525,0.001637029,0.004899877,0.001070341,0.0004265142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946561,0.0006959841,0.0000992868,0.001439132,0.001600114,0.0007015766,0.00006411056,0.0002526881,0.0004909375],"genre_scores_gemma":[0.9950482,0.0005160001,0.003233622,0.0003801499,0.0001421727,0.0001478326,0.0004817618,0.00003787902,0.00001238181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07188913,"threshold_uncertainty_score":0.9057428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006725199316565707,"score_gpt":0.2474645549440747,"score_spread":0.240739355627509,"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."}}