{"id":"W4311030155","doi":"10.1002/agr.21788","title":"Nonfarm entrepreneurship, crop output, and household welfare in Tanzania: An exploration of transmission channels","year":2022,"lang":"en","type":"article","venue":"Agribusiness","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Department for International Development","keywords":"Nonfarm payrolls; Economics; Welfare; Panel data; Agricultural economics; Entrepreneurship; Agriculture; Endogeneity; Production (economics); Cash crop; Tanzania; Labour economics; Socioeconomics; Geography; Econometrics; Microeconomics","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":[0.001007222,0.0001773456,0.0002755388,0.0006675505,0.0003166572,0.0008316142,0.0002231388,0.0002336512,0.003396312],"category_scores_gemma":[0.003655907,0.0001649308,0.0003072257,0.0008859197,0.0003913767,0.0004768314,0.0009491162,0.0004342714,0.0001474611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887204,"about_ca_system_score_gemma":0.0004157697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008486727,"about_ca_topic_score_gemma":0.009308161,"domain_scores_codex":[0.9995342,0.0002719673,0.00001745465,0.00004130508,0.00003790971,0.00009726569],"domain_scores_gemma":[0.9941083,0.003692998,0.001483362,0.0001942694,0.0002125117,0.0003085855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001341797,0.0001539744,0.9879233,0.00002728658,0.0001332168,0.000343923,0.0005346268,0.002437271,0.0003665273,0.001415825,0.0003345744,0.006195185],"study_design_scores_gemma":[0.00001685928,0.0001531483,0.9860307,0.0000362275,0.00008868839,0.00007319092,0.001675676,0.009709908,0.0002381255,0.001424402,0.0005439913,0.000009019303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987943,0.00008516254,0.0002928366,0.000150794,0.000002036287,0.000006477857,0.0001759037,0.000002784288,0.0004895716],"genre_scores_gemma":[0.9996511,0.000036394,0.00004561223,0.000009036067,0.000002662349,0.000003319628,0.00006661982,4.351432e-7,0.0001848792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008486727,"threshold_uncertainty_score":0.01687461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06195217801414574,"score_gpt":0.2256019169493867,"score_spread":0.163649738935241,"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."}}