{"id":"W1988319952","doi":"10.1016/j.jneb.2013.05.002","title":"A Client-centered Nutrition Education Model: Lessons Learned from Texas WIC","year":2013,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Texas Department of State Health Services; U.S. Department of State","keywords":"Coding (social sciences); Nutrition Education; Medical education; Computer science; Psychology; Medicine; Gerontology; Sociology","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":[0.008344159,0.0004539304,0.0002882492,0.0006017174,0.006832874,0.004305784,0.003578117,0.001727201,0.0111581],"category_scores_gemma":[0.006484354,0.0004226467,0.0004097045,0.0009370606,0.001459298,0.002815656,0.004238144,0.004809417,0.00109104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01332393,"about_ca_system_score_gemma":0.04480602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1032365,"about_ca_topic_score_gemma":0.3244224,"domain_scores_codex":[0.9968022,0.001872819,0.00007443727,0.0001973934,0.0005184375,0.0005347639],"domain_scores_gemma":[0.9942458,0.001740103,0.0001716635,0.0003728062,0.001135392,0.002334279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004155604,0.0236198,0.07410309,0.0004766219,0.00009124464,0.001805408,0.08133726,0.00474663,0.001978111,0.03176035,0.08476923,0.6948966],"study_design_scores_gemma":[0.001176853,0.005330333,0.1527995,0.003818565,0.0004020468,0.00227635,0.3722585,0.04534971,0.00824244,0.03852233,0.3693793,0.0004441065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7782527,0.0009876506,0.02393963,0.1217477,0.0005193761,0.00185452,0.0003346621,0.0004712511,0.07189256],"genre_scores_gemma":[0.8788244,0.002018106,0.07618006,0.008063772,0.00009444371,0.001835546,0.0002447892,0.000179187,0.03255988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032365,"threshold_uncertainty_score":0.2052712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2370949300508509,"score_gpt":0.4850408077892323,"score_spread":0.2479458777383814,"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."}}