{"id":"W3112940941","doi":"10.1016/j.agsy.2020.103034","title":"Immediate impacts of COVID-19 pandemic on bean value chain in selected countries in sub-Saharan Africa","year":2020,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; Bill and Melinda Gates Foundation","keywords":"Food security; Distribution (mathematics); Agriculture; Subsidy; Consumption (sociology); Poverty; Agricultural economics; Supply chain; Pandemic; Government (linguistics); Geography; Public distribution system; Business; Socioeconomics; Development economics; Coronavirus disease 2019 (COVID-19); Economic growth; Economics","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"],"consensus_categories":[],"category_scores_codex":[0.0008970559,0.0003064002,0.0009188651,0.0003021453,0.00005237095,0.00006411693,0.0003418903,0.0002392486,0.00002566578],"category_scores_gemma":[0.001860046,0.0002525675,0.0001007984,0.001525807,0.00005196524,0.0002551131,0.00005553407,0.0003447394,0.0002213469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129675,"about_ca_system_score_gemma":0.0001395401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007241296,"about_ca_topic_score_gemma":0.0008089014,"domain_scores_codex":[0.9973516,0.0001272355,0.001235716,0.0005377199,0.0001302522,0.0006174141],"domain_scores_gemma":[0.9982945,0.0004229108,0.0006409957,0.0002069917,0.00005105445,0.0003835022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002502665,0.0001290396,0.9558533,0.0008110502,0.00008727411,0.0000424085,0.009213088,0.00858771,0.006361183,0.004592898,0.01403497,0.00003674937],"study_design_scores_gemma":[0.004585753,0.0004978688,0.9499774,0.0003136604,0.00001336194,0.00002701091,0.0008277172,0.003648941,0.0004015387,0.0003586181,0.0384209,0.000927247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891804,0.005797035,0.0000430063,0.002688007,0.0003338995,0.0009162668,0.0003593685,0.00008828634,0.0005936821],"genre_scores_gemma":[0.9981484,0.0009116297,0.000003806823,0.0005508634,0.0001791323,0.00005171084,0.00007205364,0.00002089754,0.00006145098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02438594,"threshold_uncertainty_score":0.9999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429195530862302,"score_gpt":0.2412912771910378,"score_spread":0.1969993218824148,"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."}}