{"id":"W2732583449","doi":"10.1016/j.jneb.2017.05.292","title":"Classroom Characteristics and Their Association with Nutrition Education Program Outcomes: A Multi-level Analysis of FoodMASTER Intermediate","year":2017,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Nutrition Education; Socioeconomic status; Proxy (statistics); Intervention (counseling); Association (psychology); Psychology; Mathematics education; Control (management); Medical education; Medicine; Gerontology; Environmental health; Mathematics; Pedagogy; Computer science; Statistics; Population","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":[0.001165992,0.0003078346,0.0006169586,0.001274192,0.001057246,0.001252314,0.0006236022,0.0006352566,0.00289116],"category_scores_gemma":[0.002526313,0.0003919614,0.0009543938,0.001321391,0.0004531268,0.0008430552,0.001480898,0.001140446,0.000441554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006586657,"about_ca_system_score_gemma":0.0009832981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438222,"about_ca_topic_score_gemma":0.02528016,"domain_scores_codex":[0.9986657,0.0003339317,0.000115891,0.000257095,0.0002334608,0.000394028],"domain_scores_gemma":[0.9969972,0.0006625209,0.0008858292,0.0001781432,0.0003403489,0.0009358854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002152408,0.0005123533,0.996681,0.000007800594,0.0001446598,0.00003678794,0.0003297145,0.00003505058,0.0003394473,0.00002068785,0.00008240803,0.0015948],"study_design_scores_gemma":[0.00000523355,0.000221768,0.9986512,0.000003845326,0.00003012453,0.00001394102,0.0007664002,0.0001460538,0.00006913397,0.00001180665,0.00007700428,0.000003478966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996709,0.00002754051,0.00005181788,0.00001452283,0.000002787885,0.000005535063,0.00008617534,0.000002391177,0.0001384223],"genre_scores_gemma":[0.9993922,0.00001607921,0.00006265927,0.00001283694,0.000002969238,0.00001395246,0.0001483021,0.000003127032,0.0003479333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01438222,"threshold_uncertainty_score":0.028597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06030258435285062,"score_gpt":0.3261037226524955,"score_spread":0.2658011382996449,"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."}}