{"id":"W3039652089","doi":"10.5539/ass.v16n7p81","title":"Cash Crops and Food Security: A Case of Tea Farmers in Burundi","year":2020,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsistence agriculture; Food security; Cash crop; Livelihood; Business; Agriculture; Agricultural economics; Economics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000789627,0.00046779,0.0003067059,0.0009087987,0.01174439,0.001862833,0.0009394255,0.002421428,0.004774266],"category_scores_gemma":[0.001032109,0.0003081376,0.0002218229,0.001291876,0.002638948,0.001263512,0.002802519,0.001507469,0.000278223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002650716,"about_ca_system_score_gemma":0.001396509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03010282,"about_ca_topic_score_gemma":0.06991988,"domain_scores_codex":[0.9995165,0.0001567553,0.000009775751,0.00003206691,0.00002765302,0.0002572412],"domain_scores_gemma":[0.999414,0.0001673076,0.0001044394,0.00001481913,0.00003596301,0.0002634549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003933342,0.001070862,0.2123774,0.0002436617,0.00005044501,0.2331474,0.5051675,0.0003760143,0.004056165,0.01244677,0.003307836,0.02736261],"study_design_scores_gemma":[0.00003025186,0.0003307836,0.08712079,0.0001896298,0.00003263372,0.01372044,0.8815864,0.0006961114,0.0003473625,0.001552635,0.01435493,0.00003786781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965288,0.0002471871,0.00004481685,0.001451231,0.000008075505,0.0000101174,0.000008556579,0.000001110198,0.001700206],"genre_scores_gemma":[0.9972264,0.0006091368,0.00009616901,0.0002974537,0.00001046436,0.000007285638,0.000008558584,0.000001561881,0.001742886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03010282,"threshold_uncertainty_score":0.05985522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315745282180273,"score_gpt":0.2708167781650268,"score_spread":0.2392422499469994,"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."}}