{"id":"W2946519248","doi":"10.1016/j.envdev.2019.05.002","title":"Basin level gendered vulnerabilities and adaptation: A case of Gandaki River Basin","year":2019,"lang":"en","type":"article","venue":"Environmental Development","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department for International Development; International Development Research Centre","keywords":"Structural basin; Geography; Vulnerability (computing); Socioeconomic status; Psychological resilience; Adaptive capacity; Adaptation (eye); Citizen journalism; Gender analysis; Political science; Climate change; Sociology; Demography; Psychology; Population; Social psychology; Computer security; Ecology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101977,0.0003106158,0.0002689822,0.0007374296,0.00752856,0.001826473,0.001146259,0.001822252,0.003213967],"category_scores_gemma":[0.001111927,0.0002077606,0.0003216361,0.001219538,0.005795005,0.001971469,0.003795507,0.001204034,0.0001159171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004969988,"about_ca_system_score_gemma":0.002646933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0710699,"about_ca_topic_score_gemma":0.1485822,"domain_scores_codex":[0.9989696,0.0005709748,0.00001635158,0.0000589578,0.00005901512,0.000325175],"domain_scores_gemma":[0.9995289,0.0002054876,0.00006560053,0.00004126337,0.00003945663,0.0001192338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001857315,0.0002292434,0.09254418,0.0002734572,0.00006232801,0.1084519,0.6264356,0.002765037,0.003361657,0.1211323,0.005607882,0.03895079],"study_design_scores_gemma":[0.00001467593,0.0001306855,0.09865887,0.0002011141,0.00004809154,0.00621899,0.8264931,0.002451031,0.0006216944,0.02131556,0.04379596,0.00005023356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976529,0.0002595407,0.0006793005,0.003802299,0.00002034134,0.00003465165,0.00004293558,0.00001291438,0.01861899],"genre_scores_gemma":[0.9974825,0.0001836909,0.000285984,0.0001851948,0.000004552815,0.00001699618,0.00001058697,0.000003417108,0.001827103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0710699,"threshold_uncertainty_score":0.1413124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203436243087324,"score_gpt":0.1881151453566611,"score_spread":0.1660807829257879,"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."}}