{"id":"W4312806262","doi":"10.5751/es-13480-270419","title":"Gendered vulnerability and inequality: understanding drivers of climate-smart agriculture dis- and nonadoption among smallholder farmers in Malawi and Zambia","year":2022,"lang":"en","type":"article","venue":"Ecology and Society","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North-West University; National Research Foundation; Department of Science and Technology, Ministry of Science and Technology, India; University of Michigan","keywords":"Vulnerability (computing); Psychological resilience; Disaster risk reduction; Focus group; Agriculture; Inequality; Transformative learning; Mainstream; Socioeconomics; Economic growth; Sociology; Environmental resource management; Geography; Political science; Environmental planning; Business; Economics; Psychology; Marketing; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001153471,0.0001180212,0.0003372565,0.00005737514,0.000326678,0.00002267031,0.00004456949,0.0001624995,0.0000635829],"category_scores_gemma":[0.00006851418,0.0001325746,0.0000442053,0.0001357967,0.0003014403,0.0001548566,0.0001974201,0.0002886683,2.257569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249828,"about_ca_system_score_gemma":0.00001667615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002853841,"about_ca_topic_score_gemma":0.0004033072,"domain_scores_codex":[0.9989571,0.00007058995,0.0003251315,0.0003714324,0.00002921415,0.000246505],"domain_scores_gemma":[0.9994449,0.0001979681,0.0001875687,0.00009038601,0.000008080261,0.00007112409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000170089,0.00003801068,0.986009,0.00009979197,0.00003907098,0.000001737028,0.006760305,0.00007200289,0.00004119789,0.006744077,0.0001101286,0.00006767638],"study_design_scores_gemma":[0.001087123,0.00008529015,0.9801795,0.000004240092,0.00001186572,0.000006529229,0.01084467,0.001675251,0.000002301507,0.005763097,0.0001912816,0.0001488514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981196,0.0003920851,0.0001616717,0.0005717093,0.00009943362,0.0002209603,0.0001055891,0.00001076238,0.0003181714],"genre_scores_gemma":[0.9979761,0.00145568,0.0001019502,0.0003802416,0.000009963842,0.00001539733,0.00001762406,0.000006850469,0.0000361472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005829494,"threshold_uncertainty_score":0.5406234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05447199476056292,"score_gpt":0.2518546995275987,"score_spread":0.1973827047670358,"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."}}