{"id":"W2946958312","doi":"10.1016/j.worlddev.2019.05.010","title":"Climate smart agricultural practices and gender differentiated nutrition outcome: An empirical evidence from Ethiopia","year":2019,"lang":"en","type":"article","venue":"World Development","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Substance Abuse Prevention; Consortium pour la recherche économique en Afrique; International Development Research Centre","keywords":"Food security; Agriculture; Climate change; Livestock; Business; Greenhouse gas; Natural resource economics; Agricultural productivity; Sustainable development; Economics; Agricultural economics; Geography; Political science; Ecology","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":[0.0002251452,0.0002255931,0.0002670355,0.0001366864,0.0002035664,0.0002969667,0.0001742607,0.00008659125,0.0003352351],"category_scores_gemma":[0.00005487938,0.0001738118,0.00004333203,0.0002311817,0.00002745451,0.0007756843,0.000120496,0.000272464,0.0002075728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200176,"about_ca_system_score_gemma":0.00001292702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005408665,"about_ca_topic_score_gemma":0.0003571514,"domain_scores_codex":[0.9981692,0.0001808117,0.0004508546,0.0005170221,0.0003558787,0.0003262582],"domain_scores_gemma":[0.9990746,0.0002139698,0.0002587613,0.0002068642,0.00008841492,0.0001573336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000378441,0.0003309594,0.990454,0.0001748562,0.00003071261,0.000004109901,0.002723894,5.736666e-7,0.003073486,0.00001110402,0.00161958,0.001198307],"study_design_scores_gemma":[0.001209052,0.00003681396,0.9772696,0.0002758423,0.00003706896,0.000007230903,0.0001697935,0.00005906976,0.01246649,0.0001197858,0.0080346,0.0003145866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936465,0.0003408463,0.00001919787,0.004170598,0.0008983815,0.0005080596,0.000009129305,0.0001494754,0.0002578308],"genre_scores_gemma":[0.9939283,0.00004728961,0.004174152,0.001189813,0.0001289613,0.0000369284,0.0002465184,0.00001777517,0.0002302456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01318431,"threshold_uncertainty_score":0.708784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215114320279041,"score_gpt":0.366973626523096,"score_spread":0.2454621944951919,"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."}}