{"id":"W4280491543","doi":"10.1002/ncp.10859","title":"Update to the pediatric Subjective Global Nutritional Assessment (SGNA)","year":2022,"lang":"en","type":"article","venue":"Nutrition in Clinical Practice","topic":"Child Nutrition and Feeding Issues","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Hospital for Sick Children; University of Toronto; Alberta Health Services","funders":"Canadian Nutrition Society","keywords":"Medicine; Anthropometry; Percentile; Weight for Age; Malnutrition; Body mass index; Pediatrics; Standard score; Body weight; Body height; Malnutrition in children; Clinical Practice; Physical therapy; Statistics; Internal medicine","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":[0.002925833,0.0001582914,0.0003445388,0.0001531296,0.0003644712,0.00005598634,0.0002228047,0.0001019785,0.0008495499],"category_scores_gemma":[0.002795806,0.0001435584,0.0002193585,0.001287025,0.00006375325,0.0002304008,0.000207158,0.001290977,0.0001854977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038434,"about_ca_system_score_gemma":0.000203797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000372642,"about_ca_topic_score_gemma":0.00001038789,"domain_scores_codex":[0.9965447,0.000828862,0.0008625318,0.0005175209,0.0009555886,0.0002907485],"domain_scores_gemma":[0.9966983,0.002185679,0.0002370771,0.0003379305,0.0003124109,0.0002286678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008261603,0.03044116,0.4365568,0.0002173929,0.000151995,0.0005475128,0.0001973589,0.00007679762,0.00002450075,0.02908023,0.4908091,0.003635552],"study_design_scores_gemma":[0.006213492,0.001111972,0.3536162,0.00004206913,0.0001562826,0.0004754148,0.001415706,0.0000938922,0.000003765723,0.003022535,0.6336765,0.0001721526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3119953,0.002105956,0.00110554,0.6515204,0.002927312,0.003641266,0.0005469745,0.0002519964,0.02590524],"genre_scores_gemma":[0.9505243,0.001505039,0.009743768,0.03474184,0.002542625,0.0006384472,0.0001771489,0.00002019229,0.0001066088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.638529,"threshold_uncertainty_score":0.9301976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767235793041556,"score_gpt":0.4617754169945279,"score_spread":0.4041030590641124,"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."}}