{"id":"W3125499902","doi":"10.1093/jae/eju035","title":"Rural policies, price change and poverty in tanzania: An agricultural household model-based assessment","year":2015,"lang":"en","type":"article","venue":"Florence Research (University of Florence)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Welfare; Arable land; Shadow price; Consumption (sociology); Agriculture; Household income; Shock (circulatory); Agricultural productivity; Agricultural economics; Labour supply; Productivity; Wage; Labour economics; Macroeconomics; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006777592,0.0003644787,0.0004883143,0.0004389932,0.0002866512,0.000515307,0.0005174638,0.000646723,0.001935684],"category_scores_gemma":[0.0009595604,0.0002070708,0.0004741446,0.0004754608,0.0002997618,0.0003287428,0.0006419595,0.0003013817,0.00009645514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000898657,"about_ca_system_score_gemma":0.0007539231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03194024,"about_ca_topic_score_gemma":0.02227092,"domain_scores_codex":[0.9998295,0.0001132916,0.000004932882,0.00001449577,0.00001077417,0.00002701379],"domain_scores_gemma":[0.9995301,0.0003237026,0.0000537095,0.00001974723,0.00004491789,0.00002786681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000883524,0.000102985,0.009587929,0.00003834551,0.00003730338,0.0001148175,0.00009506875,0.9839876,0.0004050868,0.002438532,0.0002462812,0.002857649],"study_design_scores_gemma":[0.00002274087,0.000142187,0.004518665,0.000009716604,0.00002596094,0.00001499867,0.0001083454,0.9942207,0.00007881074,0.000641251,0.0002087876,0.000007821216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914267,0.0001698903,0.005740663,0.0001417816,0.000005573119,0.00003064409,0.0002561395,0.0000293366,0.002199264],"genre_scores_gemma":[0.9970562,0.0001143287,0.001967695,0.00001506098,0.000002896068,0.00004242579,0.00008757816,0.000004466539,0.0007093943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03194024,"threshold_uncertainty_score":0.06350863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2312737189756427,"score_gpt":0.3306945749364298,"score_spread":0.09942085596078715,"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."}}