{"id":"W2801402948","doi":"10.1186/s13717-018-0124-x","title":"Does adaptation to climate change and variability provide household food security? Evidence from Muger sub-basin of the upper Blue-Nile, Ethiopia","year":2018,"lang":"en","type":"article","venue":"Ecological Processes","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Addis Ababa University; Deutscher Akademischer Austauschdienst; International Development Research Centre","keywords":"Food security; Livelihood; Diversification (marketing strategy); Agriculture; Geography; Structural basin; Climate change; Adaptation (eye); Irrigation; Adaptive capacity; Agricultural diversification; Household income; Socioeconomics; Agricultural economics; Business; Economics; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130774,0.0001921205,0.000203187,0.0004859403,0.0003949819,0.0006521455,0.0002461242,0.0002186046,0.0009464631],"category_scores_gemma":[0.002298584,0.0001302225,0.0002810983,0.0007769535,0.0007259449,0.0003878242,0.0005923682,0.0002579577,0.00006581385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002504713,"about_ca_system_score_gemma":0.0003845398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008865245,"about_ca_topic_score_gemma":0.01269045,"domain_scores_codex":[0.9993648,0.0003892703,0.00002447857,0.00006960566,0.00004250853,0.0001093961],"domain_scores_gemma":[0.9982322,0.0007168914,0.0006494099,0.0001263061,0.00009485456,0.0001804384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00017487,0.00009245837,0.9920065,0.00003959522,0.0001766666,0.000295572,0.001496449,0.0001812193,0.0003473972,0.0002596253,0.00007404015,0.004855737],"study_design_scores_gemma":[0.000005860895,0.00007614947,0.9952265,0.00002221768,0.00005604142,0.00009113308,0.003728543,0.0002223699,0.00009706341,0.0001242129,0.0003460482,0.00000387712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996173,0.00009586399,0.00003476334,0.00005003324,0.000001278497,0.000001757824,0.0000252152,2.536272e-7,0.0001735515],"genre_scores_gemma":[0.9998348,0.00008653021,0.00002086168,0.00001205497,0.000001204278,0.000001280071,0.00001879429,1.654162e-7,0.00002431397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008865245,"threshold_uncertainty_score":0.0176273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220592423399522,"score_gpt":0.235455465732779,"score_spread":0.1932495414987837,"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."}}