{"id":"W4408286241","doi":"10.3390/cli13030057","title":"Climate Change and Its Impact on Natural Resources and Rural Livelihoods: Gendered Perspectives from Naryn, Kyrgyzstan","year":2025,"lang":"en","type":"article","venue":"Climate","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Livelihood; Natural resource; Natural (archaeology); Climate change; Geography; Environmental planning; Socioeconomics; Environmental resource management; Natural resource economics; Environmental protection; Environmental science; Political science; Sociology; Agriculture; Economics; Geology; Oceanography","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":[0.0001240223,0.0001921933,0.0001989474,0.00007188308,0.0002710379,0.00006416375,0.0001275037,0.00006533571,0.0004535349],"category_scores_gemma":[0.00001622496,0.0001467111,0.00004460521,0.0001128017,0.0001246468,0.0002243386,0.0003943637,0.0001242413,0.00008779477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000710185,"about_ca_system_score_gemma":0.000001572788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467011,"about_ca_topic_score_gemma":0.000125686,"domain_scores_codex":[0.9989522,0.00006402583,0.0001293153,0.0003606529,0.00009943425,0.0003943733],"domain_scores_gemma":[0.999639,0.00007866399,0.00005899781,0.0001412757,0.000004881174,0.00007720198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001593703,0.0003856179,0.9057248,0.0001602962,0.0003200928,0.0001012095,0.03394275,0.00002929936,0.01210719,0.007530967,0.005316597,0.03278746],"study_design_scores_gemma":[0.0005966036,0.0001832446,0.9924824,0.00004479719,0.00003898944,0.000002208229,0.004194097,0.0007783723,0.00004916566,0.0006015139,0.0008551195,0.0001735144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842196,0.002772749,7.155711e-7,0.0007307387,0.0001422739,0.0003296273,0.00005439234,0.00005958616,0.01169033],"genre_scores_gemma":[0.9967143,0.002598481,0.00004639761,0.0002556801,0.00006052041,0.00003123695,0.00001438177,0.00001087924,0.0002681234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08675756,"threshold_uncertainty_score":0.5982704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120720478959591,"score_gpt":0.2579306795921726,"score_spread":0.2467234748025767,"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."}}