{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011433,0.0004057778,0.0005515224,0.001473606,0.0006864991,0.001130922,0.0003813806,0.0006139018,0.001052596],"category_scores_gemma":[0.00401448,0.000316252,0.0007222577,0.0006736683,0.0003643484,0.000524945,0.001086538,0.0009608814,0.0003039852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006720418,"about_ca_system_score_gemma":0.001241453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186236,"about_ca_topic_score_gemma":0.02285163,"domain_scores_codex":[0.9993747,0.0001116511,0.00006810152,0.00005774522,0.0001837889,0.0002039665],"domain_scores_gemma":[0.9982456,0.0002948334,0.0005077018,0.00004737229,0.0004479568,0.0004566432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006402672,0.001166548,0.9896277,0.00002423917,0.00002314242,0.00005956251,0.001230192,0.00007519289,0.0003399166,0.00004654535,0.0001582965,0.007184597],"study_design_scores_gemma":[0.000008890489,0.0005395307,0.9962534,0.0000307179,0.00003748687,0.0001313803,0.001482777,0.0002988898,0.0006584674,0.00004959383,0.0005028979,0.000005996526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999357,0.00004227953,0.00002665547,0.00001315193,0.000002471067,0.00001738133,0.00003599208,0.000002830124,0.0005021117],"genre_scores_gemma":[0.9985267,0.0001502977,0.0003591009,0.00002463065,0.000002446744,0.00003786655,0.0001719517,0.000001967858,0.0007250662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01186236,"threshold_uncertainty_score":0.02358663,"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."}}