{"id":"W2119453437","doi":"10.22004/ag.econ.54238","title":"An economic evaluation of a crop insurance programme for small-scale commercial farmers in South Africa","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crop insurance; Subsidy; Government (linguistics); Business; Adverse selection; Moral hazard; Agricultural economics; Private sector; Scale (ratio); Income protection insurance; Insurance policy; Agricultural science; Agriculture; Incentive; Economic growth; Economics; Finance; Geography; General insurance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004957138,0.0009118401,0.0004440183,0.001767865,0.001532001,0.00179814,0.001081046,0.001424988,0.006247154],"category_scores_gemma":[0.0125919,0.0003342334,0.0009894219,0.001212831,0.0009718589,0.001430082,0.001215758,0.001360069,0.0003066694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00855884,"about_ca_system_score_gemma":0.00627203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03040237,"about_ca_topic_score_gemma":0.02484399,"domain_scores_codex":[0.9966114,0.001905674,0.0001088884,0.0001483469,0.0005632322,0.0006623653],"domain_scores_gemma":[0.9905831,0.005109374,0.001009642,0.0002372191,0.0008256971,0.002235039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1224878,0.07878236,0.1850291,0.009018959,0.001935202,0.008357412,0.009121379,0.1449014,0.03072205,0.0197209,0.006344344,0.3835792],"study_design_scores_gemma":[0.03167461,0.2688875,0.553872,0.001615682,0.001980612,0.001025142,0.02345126,0.07482751,0.01371117,0.005276215,0.02337045,0.0003078201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910122,0.0003369297,0.0004251185,0.0006598835,0.0000235789,0.002332261,0.0004111346,0.00001737312,0.004781436],"genre_scores_gemma":[0.9967133,0.0004603681,0.0005930849,0.0000830916,0.00001665491,0.0007057095,0.0001594036,0.000003819841,0.00126474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03040237,"threshold_uncertainty_score":0.06209904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0588197188615614,"score_gpt":0.251342067825814,"score_spread":0.1925223489642526,"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."}}