{"id":"W4226269813","doi":"10.1097/01.npr.0000873564.46362.96","title":"Identifying pediatric malnutrition using STRONGkids","year":2022,"lang":"en","type":"article","venue":"The Nurse Practitioner","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nurses Association","funders":"","keywords":"Malnutrition; Permission; Nursing; Psychology; Gerontology; Medicine; Political science; Law; Internal medicine","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":[0.001291443,0.0003812877,0.0003518411,0.00153907,0.0004765735,0.0006287214,0.0004779475,0.0002412084,0.00238625],"category_scores_gemma":[0.00554519,0.0001454361,0.0004392923,0.0009925356,0.0002135092,0.0006634675,0.001514556,0.0008023986,0.0006088913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939939,"about_ca_system_score_gemma":0.001318899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418706,"about_ca_topic_score_gemma":0.0256899,"domain_scores_codex":[0.9986691,0.0004219887,0.0002160456,0.0001023352,0.0004629236,0.0001275474],"domain_scores_gemma":[0.9983437,0.0002327804,0.0006371997,0.00003629538,0.0005263485,0.0002236615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001490448,0.0003167417,0.6811077,0.0008030342,0.00008340194,0.0006959748,0.001305573,0.0002135831,0.0006487223,0.0002359917,0.02553334,0.2889068],"study_design_scores_gemma":[0.00003262214,0.0008608295,0.9646975,0.002458913,0.0001076278,0.002288729,0.004283722,0.0006289987,0.001405943,0.0004801608,0.0227102,0.00004484958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901844,0.01829793,0.005330239,0.01318173,0.0005928274,0.001131696,0.00343986,0.0003820623,0.06745926],"genre_scores_gemma":[0.9540037,0.02136832,0.01394058,0.00198397,0.0001113559,0.0005786635,0.001732623,0.00004331595,0.006237578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418706,"threshold_uncertainty_score":0.02820897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03848191135186462,"score_gpt":0.320380380136204,"score_spread":0.2818984687843394,"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."}}