{"id":"W2063760465","doi":"10.1139/apnm-2015-0048","title":"Development, reliability, and validity testing of Toddler NutriSTEP: a nutrition risk screening questionnaire for children 18–35 months of age","year":2015,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Child Nutrition and Feeding Issues","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; Health Sciences North; University of Sudbury; Thunder Bay Regional Health Sciences Centre; Canadian Rheumatology Association; Thunder Bay Regional Research Institute; Dawson College; University of Guelph","funders":"Canadian Institutes of Health Research; University of Guelph","keywords":"Toddler; Kappa; Receiver operating characteristic; Medicine; Cohen's kappa; Wilcoxon signed-rank test; Reliability (semiconductor); Validity; Face validity; Pediatrics; Test (biology); Psychology; Clinical psychology; Developmental psychology; Psychometrics; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01603598,0.0004773162,0.0006155757,0.001456258,0.0005026571,0.0005576283,0.0006494147,0.0003419184,0.001229907],"category_scores_gemma":[0.01831779,0.0004624627,0.001109361,0.000980104,0.000500893,0.0005916836,0.001260702,0.000685397,0.0005743338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006746434,"about_ca_system_score_gemma":0.002065764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003888434,"about_ca_topic_score_gemma":0.007676282,"domain_scores_codex":[0.9925784,0.002851641,0.001480274,0.0005950381,0.002165495,0.0003291417],"domain_scores_gemma":[0.9832157,0.004754611,0.002012225,0.0008801832,0.008772666,0.0003644812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005820407,0.0006323507,0.8547172,0.0007853261,0.0002355012,0.0002384957,0.006702276,0.0006422071,0.006442551,0.000745677,0.003031305,0.1252451],"study_design_scores_gemma":[0.00008451347,0.001191709,0.987392,0.0001889265,0.00005334743,0.0001937425,0.002097913,0.001222529,0.001509718,0.0002096923,0.005830034,0.00002594799],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.975415,0.0005200297,0.01063683,0.000295024,0.0001206348,0.005839368,0.002002679,0.0001307883,0.00503971],"genre_scores_gemma":[0.9053798,0.0007616506,0.07150763,0.0003078295,0.00004091859,0.01588304,0.003893844,0.0000638223,0.002161531],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01603598,"threshold_uncertainty_score":0.08480734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05603289609064459,"score_gpt":0.2952266345565223,"score_spread":0.2391937384658777,"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."}}