{"id":"W4375865807","doi":"10.1016/j.jneb.2023.02.007","title":"Assessing Foods and Nutrition Competencies in Youth","year":2023,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Outreach; Core competency; Psychology; Population; Confirmatory factor analysis; Medical education; Nutrition Education; Applied psychology; Medicine; Gerontology; Environmental health; Structural equation modeling; Computer science; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002102835,0.00005734447,0.000100939,0.0001202722,0.0001264856,0.000109908,0.00004294588,0.00003542153,0.00002828704],"category_scores_gemma":[0.00004702778,0.0000295184,0.00002352503,0.0005482722,0.00004598164,0.0004407667,0.00001616457,0.00008016908,0.000002345623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003094826,"about_ca_system_score_gemma":0.00002404539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002748929,"about_ca_topic_score_gemma":0.00002572655,"domain_scores_codex":[0.9994404,0.00003297994,0.0002390091,0.00008076007,0.000126942,0.00007996285],"domain_scores_gemma":[0.9994726,0.00008089282,0.0001375747,0.00001408728,0.0002541122,0.00004079357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004795942,0.02654647,0.4217604,0.0002317536,0.00003072147,0.00001315215,0.005301489,8.673209e-7,0.1564112,0.004894002,0.01308297,0.371679],"study_design_scores_gemma":[0.0002215667,0.0001090752,0.9273197,0.0001542888,0.00002340383,0.00003511778,0.06755907,0.000001992643,0.0001455336,0.0008041228,0.00355991,0.00006619099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955603,0.0004375047,6.264895e-7,0.003378298,0.0004055543,0.0001285864,0.00001427969,0.00001095232,0.00006388845],"genre_scores_gemma":[0.9980749,0.0006938652,0.0006713627,0.00008791876,0.0003255322,0.00003855511,0.00006178125,5.784352e-7,0.0000454688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5055593,"threshold_uncertainty_score":0.1203725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09355838990051511,"score_gpt":0.3347676379185676,"score_spread":0.2412092480180525,"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."}}