{"id":"W2797586173","doi":"10.1016/j.worlddev.2018.03.015","title":"How do African SMEs respond to climate risks? Evidence from Kenya and Senegal","year":2018,"lang":"en","type":"preprint","venue":"World Development","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Department for International Development; London International Development Centre; International Development Research Centre; Centre for Climate Change Economics and Policy, University of Leeds; Grantham Foundation for the Protection of the Environment; Department for International Development, UK Government; Government of the United Kingdom","keywords":"Adaptation (eye); Coping (psychology); Climate change; Business; Psychological resilience; Climate change adaptation; Sustainable development; Environmental resource management; Climate risk; Natural resource economics; Environmental planning; Public economics; Economics; Geography; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001512612,0.0005329613,0.0009644386,0.000878215,0.0004970114,0.001343055,0.0008501584,0.0002398446,0.0004634192],"category_scores_gemma":[0.0004949092,0.0006279697,0.0001262956,0.0005059954,0.0001146839,0.0002708068,0.002996751,0.0006423694,0.0005551979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007073424,"about_ca_system_score_gemma":0.0002857361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088108,"about_ca_topic_score_gemma":0.003112999,"domain_scores_codex":[0.9971784,0.00008862473,0.000891924,0.0009882154,0.0001614311,0.0006914567],"domain_scores_gemma":[0.9977812,0.0003169782,0.0005853664,0.0008472651,0.0001026363,0.0003665905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000445161,0.000200645,0.8350266,0.0002786345,0.0008963163,0.00003853349,0.07332624,0.00001873069,0.00003204984,0.004117319,0.02261418,0.0630056],"study_design_scores_gemma":[0.0002476074,0.00002895185,0.7292985,0.000579817,0.00001401387,6.828941e-7,0.0004558517,0.0000259199,0.0001435232,0.00971668,0.2585133,0.0009751401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767503,0.004396202,0.0008451475,0.005686497,0.001531835,0.0007371648,0.0003282618,0.0001273374,0.009597279],"genre_scores_gemma":[0.9559705,0.001343856,0.0353356,0.000386668,0.0003122589,0.0001164867,0.00009201165,0.00006453356,0.006378065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2358991,"threshold_uncertainty_score":0.9996936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1339330897514417,"score_gpt":0.3035502553528,"score_spread":0.1696171656013583,"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."}}