{"id":"W4413241198","doi":"10.1007/s10113-025-02440-7","title":"Climate change impacts livestock carrying capacity in East Africa","year":2025,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Australian Centre for International Agricultural Research; Consortium of International Agricultural Research Centers; World Bank Group","keywords":"Livestock; Rangeland; Food security; Climate change; Livelihood; Temperate climate; Agroforestry; Geography; Greenhouse gas; Environmental science; Precipitation; Productivity; Agriculture; Ecology; Forestry; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380299,0.000409483,0.0001653131,0.0007202773,0.0003080264,0.0006804558,0.0002655392,0.0002076016,0.002774421],"category_scores_gemma":[0.001161978,0.0001205183,0.0002031122,0.001007385,0.000358586,0.00104145,0.0006602993,0.0002993773,0.0002363266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840221,"about_ca_system_score_gemma":0.0004178227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984003,"about_ca_topic_score_gemma":0.01978611,"domain_scores_codex":[0.9997703,0.00007232003,0.00001007591,0.00002389292,0.00002182569,0.0001014788],"domain_scores_gemma":[0.9993542,0.0001835784,0.0002097974,0.00003572047,0.0001562663,0.00006039796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004308222,0.000103292,0.7860687,0.0008841926,0.0004098005,0.002628055,0.003723071,0.06523458,0.01255823,0.007865763,0.003697711,0.1163959],"study_design_scores_gemma":[0.0000151387,0.0001354592,0.941434,0.0003438176,0.0001195617,0.0005238857,0.005801585,0.03537362,0.00250503,0.002534781,0.01115733,0.00005580603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926279,0.0008052575,0.0009197907,0.0004256849,0.0000145287,0.00001607054,0.001076125,0.00002309784,0.004091524],"genre_scores_gemma":[0.9991686,0.0002761272,0.0002572981,0.00002610293,0.000003811805,0.000005614089,0.0001364384,0.000002512779,0.0001233789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01984003,"threshold_uncertainty_score":0.0394491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07401012399099646,"score_gpt":0.2312208431028549,"score_spread":0.1572107191118584,"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."}}