{"id":"W2260295510","doi":"10.1111/mcn.12245","title":"Constraints and opportunities for implementing nutrition‐specific, agricultural and market‐based approaches to improve nutrient intake adequacy among infants and young children in two regions of rural Kenya","year":2015,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"NutriAg (Canada)","funders":"United States Agency for International Development","keywords":"Psychological intervention; Context (archaeology); Environmental health; Medicine; Nutrient; Kenya; Agriculture; Nutrient density; Productivity; Leafy vegetables; Food science; Economic growth; Economics; Geography; Ecology; Nursing; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002754477,0.0002524675,0.000348475,0.0002714258,0.0002013383,0.0002319181,0.00007804186,0.00007429395,0.00000568347],"category_scores_gemma":[0.00001457063,0.0002272704,0.00004641209,0.00009974962,0.0002558,0.0004185068,0.00009070559,0.0001349816,1.30828e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000408622,"about_ca_system_score_gemma":0.00000544231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002175225,"about_ca_topic_score_gemma":0.000093624,"domain_scores_codex":[0.9985986,0.0000810346,0.0004733912,0.0003290359,0.0001798721,0.0003380668],"domain_scores_gemma":[0.9993616,0.00004222143,0.0001655973,0.0001017936,0.00008078585,0.0002480233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005497513,0.001612725,0.9537711,0.002880919,0.000125928,0.00001453247,0.0045445,0.000002051586,0.002363712,0.004643554,0.003790526,0.0207529],"study_design_scores_gemma":[0.01909962,0.0005171328,0.9489723,0.002209575,0.00007382916,0.0003115666,0.005233,0.0002082297,0.01826011,0.00400278,0.0005862075,0.0005256513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926211,0.00102462,0.0001082004,0.003827147,0.0001313522,0.001618903,0.0004481118,0.00003663102,0.0001839842],"genre_scores_gemma":[0.9981589,0.0004381596,0.0005503044,0.0001798112,0.0002321766,0.0001850043,0.0002226732,0.00001925858,0.00001368594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02022725,"threshold_uncertainty_score":0.9267818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05354794868578077,"score_gpt":0.2556379883082099,"score_spread":0.2020900396224291,"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."}}