{"id":"W2008305906","doi":"10.1016/j.jneb.2014.07.002","title":"Navigating for Success: Quality Staff Training Translates Into Improved Program Participant Outcomes","year":2014,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Supplemental Nutrition Assistance Program; Nutrition Education; Medical education; Training (meteorology); Medicine; Nursing; Agriculture; Gerontology; Food security; Food insecurity","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":[0.002261596,0.00007053206,0.0001816938,0.00003184313,0.0005871428,0.0001462499,0.0001237555,0.00005997617,0.00001945032],"category_scores_gemma":[0.0002740873,0.0000630265,0.00008752821,0.00009838313,0.00006385669,0.0002405932,0.000006315194,0.0002719518,3.75735e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003913055,"about_ca_system_score_gemma":0.0001292884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004941565,"about_ca_topic_score_gemma":0.0005501068,"domain_scores_codex":[0.998749,0.0004497538,0.0003931481,0.00007505989,0.0001805291,0.0001525572],"domain_scores_gemma":[0.9988327,0.0003222851,0.0003188791,0.00006985268,0.0003285981,0.0001277043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001401983,0.004590278,0.01110078,0.00009159063,0.00001468132,8.151621e-8,0.08071972,5.791813e-7,0.000628442,0.0005213379,0.00003698368,0.9022815],"study_design_scores_gemma":[0.002038594,0.001030578,0.1237437,0.000465465,0.0003589702,0.000004294314,0.7775983,0.00007738507,0.0003616797,0.001601886,0.09244478,0.0002743508],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928451,0.0001760794,0.0002786079,0.005803009,0.0004187303,0.0003935724,0.000001448296,0.00002952824,0.00005392933],"genre_scores_gemma":[0.9851456,0.00006859155,0.01408903,0.0001371977,0.000268461,0.0002488416,0.000008192705,0.000006630527,0.0000274603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9020072,"threshold_uncertainty_score":0.4515887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181056619653109,"score_gpt":0.4693719780819261,"score_spread":0.3512663161166152,"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."}}