{"id":"W2796259751","doi":"10.1080/17565529.2018.1442801","title":"Climate change adaptation: a study of multiple climate-smart practices in the Nile Basin of Ethiopia","year":2018,"lang":"en","type":"article","venue":"Climate and Development","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Multivariate probit model; Adaptation (eye); Climate change; Agriculture; Food security; Environmental resource management; Climate change adaptation; Adaptive capacity; Livelihood; Natural resource economics; Probit model; Business; Geography; Economics; Ecology; Econometrics","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":[0.00114838,0.000202624,0.0003253644,0.00003470157,0.0002632234,0.0000573135,0.0002616078,0.0001030348,0.0001346591],"category_scores_gemma":[0.0001406421,0.00007113178,0.00003381206,0.0004574839,0.00009269283,0.0002508941,0.0002122206,0.0001271386,0.00002073995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002200388,"about_ca_system_score_gemma":0.000009629197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005113559,"about_ca_topic_score_gemma":0.0168406,"domain_scores_codex":[0.9981478,0.0001861674,0.0005465852,0.000322352,0.0003556303,0.0004415059],"domain_scores_gemma":[0.9986086,0.0004500358,0.0006058618,0.0001009469,0.0001666524,0.00006788611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004523388,0.002175814,0.8254404,0.0002659172,0.00003975083,0.00001797903,0.1025396,7.688899e-7,0.01235179,0.0001085591,0.0002471307,0.05635991],"study_design_scores_gemma":[0.0005388908,0.0008315978,0.9329247,0.0001309733,0.0000199672,0.000008428809,0.06012748,0.00004059069,0.001249457,0.000007919451,0.003941426,0.0001785333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974843,0.0001988061,1.628052e-7,0.0006105097,0.00009971824,0.0008307385,0.00007393808,0.00002535475,0.0006765191],"genre_scores_gemma":[0.9981889,0.0009272077,0.0002655023,0.0003214307,0.0001126458,0.0001090151,0.00006981616,0.000001962163,0.000003524097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1074843,"threshold_uncertainty_score":0.9397452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630761936703323,"score_gpt":0.3134063022116612,"score_spread":0.1503301085413289,"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."}}