Probabilistic Causal Models for Nutrition Outcomes of Agricultural Actions - Uganda model
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains a Bayesian Network (BN) decision model of the expected impact of the long term development agenda of the Ugandan National Planning Authority (Vision 2040) on the nutritional status of households in Uganda. The model was developed using expert knowledge elicited through a facilitated process. The model compares the household-level nutrient supply through smallholder homegarden production vs. the industrial agricultural systems proposed in Vision 2040. It includes 29 main variables, describing the impact pathway from the decision to implement Vision 2040 to household nutrition' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Bayesian Network, Holistic modeling, Nutrition, Agroforestry"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains a Bayesian Network (BN) decision model of the expected impact of the long term development agenda of the Ugandan National Planning Authority (Vision 2040) on the nutritional status of households in Uganda. The model was developed using expert knowledge elicited through a facilitated process. The model compares the household-level nutrient supply through smallholder homegarden production vs. the industrial agricultural systems proposed in Vision 2040. It includes 29 main variables, describing the impact pathway from the decision to implement Vision 2040 to household nutrition' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains a Bayesian Network (BN) decision model of the expected impact of the long term development agenda of the Ugandan National Planning Authority (Vision 2040) on the nutritional status of households in Uganda. The model was developed using expert knowledge elicited through a facilitated process. The model compares the household-level nutrient supply through smallholder homegarden production vs. the industrial agricultural systems proposed in Vision 2040. It includes 29 main variables, describing the impact pathway from the decision to implement Vision 2040 to household nutrition
Bayesian Network, Holistic modeling, Nutrition, Agroforestry