{"id":"W4309862663","doi":"10.1016/j.jneb.2022.10.001","title":"Development of EFNEP and SNAP-Ed Core Competencies in the Land-Grant University System","year":2022,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Dietetics, Nutrition, and Education","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medical education; Supplemental Nutrition Assistance Program; Core competency; Curriculum; Nutrition Education; Land grant; Political science; Medicine; Psychology; Pedagogy; Business; Gerontology; Agriculture; Food insecurity; Food security; Geography","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":[0.0008444807,0.00005541482,0.000142822,0.0002117279,0.0005116377,0.000006636959,0.00008431137,0.00003466383,0.00004480306],"category_scores_gemma":[0.00001706475,0.00004631167,0.00002638959,0.000158213,0.00003613258,0.00009074509,0.00002067714,0.0002340568,8.44708e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020146,"about_ca_system_score_gemma":0.0004387572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004481341,"about_ca_topic_score_gemma":0.00003705933,"domain_scores_codex":[0.998957,0.0002873766,0.0004043963,0.00006781263,0.000191923,0.00009142979],"domain_scores_gemma":[0.9991758,0.0001276972,0.0003489411,0.00006070529,0.0002363756,0.00005048412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004030553,0.01652664,0.8148964,0.004829908,0.00003389661,0.00001352253,0.1295118,0.000001706501,0.004216045,0.005690433,0.01478755,0.009089034],"study_design_scores_gemma":[0.00105882,0.00009412831,0.4865739,0.0004431361,0.00005253037,0.00006010706,0.4863089,0.000003072283,0.0000185075,0.00006645901,0.025268,0.00005246625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973283,0.0006423243,0.00001743128,0.000604991,0.001024837,0.0002834553,0.00001527356,0.000004266432,0.00007916779],"genre_scores_gemma":[0.9968789,0.0002907688,0.002486913,0.00007961614,0.0001291463,0.00003909175,0.00003528624,0.000003729668,0.00005660542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3567971,"threshold_uncertainty_score":0.3935156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07110934069625159,"score_gpt":0.3602390371809174,"score_spread":0.2891296964846658,"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."}}