{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003974866,0.0001326051,0.0001185694,0.0001988385,0.001512263,0.0001679776,0.0002580727,0.0000339477,0.001758412],"category_scores_gemma":[0.00003030198,0.0001178797,0.0001042156,0.0004894596,0.00003602213,0.0006361125,0.00006209202,0.0004840156,0.00008515397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449558,"about_ca_system_score_gemma":0.00001895492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037313,"about_ca_topic_score_gemma":0.000003255459,"domain_scores_codex":[0.9983977,0.0003727263,0.0002486302,0.0002502156,0.0004604245,0.0002703208],"domain_scores_gemma":[0.9993111,0.0001057211,0.0001801048,0.0002912039,0.00005695404,0.00005492965],"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":[0.01022898,0.01259754,0.1623703,0.001024745,0.0005073182,0.0003363913,0.02579826,0.02951908,0.08448482,0.02254674,0.642191,0.008394819],"study_design_scores_gemma":[0.02489685,0.001502442,0.2405678,0.0002324158,0.003767499,0.005526962,0.03286071,0.01857744,0.04868775,0.102354,0.5161437,0.004882399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746633,0.0004174495,0.001101368,0.01653421,0.003853895,0.0005733119,0.0000894816,0.000232718,0.00253427],"genre_scores_gemma":[0.9964737,0.00001051417,0.0004979764,0.001266661,0.001197914,0.00007929807,0.0001047547,0.00003607385,0.0003330924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1260472,"threshold_uncertainty_score":0.9997876,"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."}}