{"id":"W2793917940","doi":"10.17265/2161-6264/2017.04.006","title":"Assessment of Household Food Security in the Face of Climate Change and Variability in the Upper Blue-Nile of Ethiopia","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science and Technology B","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Addis Ababa University; Deutscher Akademischer Austauschdienst; International Development Research Centre","keywords":"Food security; Climate change; Face (sociological concept); Geography; Socioeconomics; Agricultural economics; Environmental science; Natural resource economics; Economics; Agriculture; Sociology; Geology; Oceanography; Archaeology; Social 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":[0.002880803,0.0001113229,0.0003009691,0.00004442532,0.0002877174,0.00004578074,0.001167462,0.0001360606,0.000002087799],"category_scores_gemma":[0.000321491,0.00002516679,0.00005349044,0.0007794625,0.001617115,0.0004375865,0.0002276711,0.0003722002,4.850103e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817633,"about_ca_system_score_gemma":0.00001852252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173338,"about_ca_topic_score_gemma":0.0005321495,"domain_scores_codex":[0.9985516,0.0001188262,0.0004305266,0.0001798716,0.0004826403,0.0002365114],"domain_scores_gemma":[0.9986756,0.0002223661,0.0007067744,0.0001149207,0.0002467609,0.00003354878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001408157,0.0002682102,0.8320978,0.00003483957,0.000007187396,0.000004108088,0.002181362,0.000003638961,0.1439765,0.008052416,0.00002092119,0.01333893],"study_design_scores_gemma":[0.0001374621,0.0006492258,0.9832724,0.00007530153,0.00001116985,0.00007148149,0.01063042,0.000007710561,0.003908474,0.001136224,0.0000373869,0.00006275081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924744,0.0002470866,2.202667e-7,0.006811307,0.0000426244,0.0002421595,0.00001441485,0.000002999741,0.0001647548],"genre_scores_gemma":[0.9986772,0.001207674,0.00004755615,0.00003097372,0.00002978315,0.0000051409,3.670189e-7,2.354595e-7,0.000001062778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1511746,"threshold_uncertainty_score":0.5958328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627497727956669,"score_gpt":0.2648507344340304,"score_spread":0.2385757571544637,"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."}}