{"id":"W4232188907","doi":"10.18697/ajfand.51.9900","title":"A systematic approach to food variety classification as a tool in dietary assessment: A case study of Kitui district","year":2012,"lang":"en","type":"article","venue":"African Journal of Food Agriculture Nutrition and Development","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Dietary diversity; Diversity (politics); Food group; Food security; Variety (cybernetics); Biodiversity; Environmental health; Agricultural biodiversity; Healthy food; Consumption (sociology); Geography; Medicine; Biology; Agriculture; Food science; Ecology; Political science; Social science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005988829,0.0002112274,0.0005263171,0.0003195462,0.0001321179,0.00007974289,0.0001371891,0.00007974375,0.000002736997],"category_scores_gemma":[0.00005204053,0.0001413849,0.00007774746,0.0006421001,0.00001802419,0.0003688662,0.00003880979,0.0002471071,8.817839e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072857,"about_ca_system_score_gemma":0.00003415873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001441579,"about_ca_topic_score_gemma":0.00002848809,"domain_scores_codex":[0.9976912,0.0002923263,0.001098739,0.00019006,0.0004833137,0.0002444063],"domain_scores_gemma":[0.9988052,0.00009264144,0.0005333062,0.0001159589,0.0002547287,0.0001981977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.004037673,0.2030262,0.176228,0.05609477,0.003918853,0.0006901007,0.5197005,0.00009386854,0.01174323,0.002709069,0.01067025,0.01108746],"study_design_scores_gemma":[0.01615164,0.008581052,0.65891,0.006633813,0.0005400732,0.01383971,0.2893519,0.0000328514,0.003332519,0.0002531087,0.001304463,0.001068904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965327,0.0006224076,0.0005088748,0.0003938812,0.0001799682,0.001552346,0.00001029649,0.0000142423,0.0001852563],"genre_scores_gemma":[0.9953187,0.00001531864,0.004275338,0.00009776792,0.000118275,0.0001462421,0.00001618298,0.000009407282,0.000002837387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.482682,"threshold_uncertainty_score":0.5765508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722928759278939,"score_gpt":0.2700531131716326,"score_spread":0.2328238255788432,"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."}}