{"id":"W3136067316","doi":"10.2139/ssrn.3344558","title":"Off-Farm Participation, Agricultural Production and Farmers’ Welfare in Tanzania and Uganda","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Department for International Development","keywords":"Tanzania; Agriculture; Welfare; Production (economics); Agricultural productivity; Agricultural economics; Business; Agricultural science; Socioeconomics; Economics; Geography; Environmental science","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":[0.001283112,0.0002777448,0.0003914633,0.00114802,0.002064097,0.001630556,0.0006287433,0.0006861793,0.005000443],"category_scores_gemma":[0.003325355,0.0003245568,0.000250758,0.001331382,0.002050253,0.001042129,0.003880736,0.0009160967,0.0002508405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722403,"about_ca_system_score_gemma":0.001639819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02747506,"about_ca_topic_score_gemma":0.05632381,"domain_scores_codex":[0.9985906,0.0005428566,0.00004413463,0.00006457279,0.00004881285,0.0007089422],"domain_scores_gemma":[0.9972453,0.001051155,0.0007704838,0.000051256,0.0001158487,0.0007660935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009179989,0.0008302066,0.8635378,0.0002806526,0.00008041153,0.002901288,0.09409879,0.0004477624,0.00111298,0.004173209,0.001022417,0.03059632],"study_design_scores_gemma":[0.0000372759,0.0004052258,0.8907453,0.0002217566,0.00004506742,0.0003145348,0.1043605,0.0003740524,0.0001481792,0.0009222,0.002408698,0.00001722991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988061,0.0001757993,0.0000163337,0.0001752787,0.000002012601,0.000004469261,0.00002904762,5.974902e-7,0.0007903888],"genre_scores_gemma":[0.9993328,0.00009380961,0.0000174767,0.00002169216,0.000001942633,0.00001066305,0.00001682502,5.131878e-7,0.0005042442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02747506,"threshold_uncertainty_score":0.05463028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088101857990944,"score_gpt":0.2311620538385867,"score_spread":0.2202810352586773,"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."}}