{"id":"W4210660747","doi":"10.5539/jsd.v15n2p54","title":"Impacts of Climate Change and Hydropower Development on the Community Livelihoods in Sondu Miriu River Basin, Kenya","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Livelihood; Climate change; Sustainable development; Psychological resilience; Sustainability; Geography; Environmental resource management; Environmental planning; Water resource management; Natural resource economics; Environmental science; Political science; Agriculture; Ecology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003943246,0.000146569,0.0001581555,0.0003857746,0.002253296,0.0006457216,0.0002421529,0.000308716,0.002785794],"category_scores_gemma":[0.0004920665,0.0001398669,0.000106291,0.0005543845,0.0009638343,0.0006172812,0.001177555,0.0003173466,0.0001018997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819014,"about_ca_system_score_gemma":0.001954439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03958299,"about_ca_topic_score_gemma":0.1898312,"domain_scores_codex":[0.9996918,0.0001361724,0.00001076658,0.00002209075,0.00002875183,0.0001104958],"domain_scores_gemma":[0.9997737,0.00005923699,0.00006691728,0.000004186372,0.00002701167,0.00006898861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002905434,0.0006923282,0.7891635,0.0008910767,0.0001054017,0.01336119,0.0982786,0.001198696,0.009317716,0.006318478,0.003068933,0.07731339],"study_design_scores_gemma":[0.00002167691,0.0003780717,0.7915637,0.0003288854,0.0000494851,0.001257888,0.1923092,0.0006799471,0.0006688066,0.0008404157,0.01187035,0.00003166757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996636,0.0002823035,0.0000280709,0.0002814186,0.000002917875,0.00002131924,0.00004066999,8.422156e-7,0.002706343],"genre_scores_gemma":[0.9989029,0.0002956376,0.00007963172,0.00004295113,0.000001291909,0.00001978209,0.00001998579,4.923155e-7,0.0006372093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03958299,"threshold_uncertainty_score":0.07870519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059525741579389,"score_gpt":0.3403865630151119,"score_spread":0.309791305599318,"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."}}