{"id":"W2078125223","doi":"10.1016/j.jneb.2005.11.008","title":"Evaluating Food Stamp Nutrition Education: Process for Development and Validation of Evaluation Measures","year":2006,"lang":"en","type":"review","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Identification (biology); Process (computing); Computer science; Process management; Trustworthiness; Quality (philosophy); Food stamps; Nutrition Education; Measure (data warehouse); Risk analysis (engineering); Management science; Medicine; Business; Data mining; Engineering; Artificial intelligence; Gerontology; Political science","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":[0.1471122,0.001866705,0.005600158,0.00643191,0.0009313812,0.002659513,0.003457195,0.001354467,0.0008197391],"category_scores_gemma":[0.1449144,0.0009110871,0.002582541,0.006523603,0.001490963,0.002263,0.002077617,0.001730435,0.0004035418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004753126,"about_ca_system_score_gemma":0.01586932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008472924,"about_ca_topic_score_gemma":0.01638766,"domain_scores_codex":[0.9088744,0.0473166,0.01534587,0.001915682,0.02590145,0.0006459734],"domain_scores_gemma":[0.8436376,0.08180356,0.01499251,0.005637769,0.05308213,0.0008464376],"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":[0.0003743006,0.0006810745,0.03059178,0.01646637,0.001009724,0.00004791606,0.001252716,0.0007490886,0.00088572,0.001539961,0.003593665,0.9428077],"study_design_scores_gemma":[0.001483872,0.009032927,0.4769505,0.1265885,0.01712266,0.001689807,0.01061927,0.01340883,0.0433689,0.01042277,0.288571,0.0007409606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.1292534,0.6684585,0.1332408,0.005899099,0.00138634,0.03985154,0.00417971,0.0004031752,0.01732764],"genre_scores_gemma":[0.2814371,0.3065237,0.3834232,0.001300394,0.0002450917,0.02033083,0.004071154,0.00010593,0.00256263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1471122,"threshold_uncertainty_score":0.7780132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5386062335776087,"score_gpt":0.6078251943533876,"score_spread":0.06921896077577883,"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."}}