{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003890762,0.0001401865,0.0003569574,0.0002650823,0.000225779,0.00002648065,0.0001868275,0.0000765588,0.0001439977],"category_scores_gemma":[0.00001546205,0.0001636102,0.0000444168,0.0005429711,0.00003441028,0.0007053453,0.0001420254,0.0001541384,0.000004282493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006157224,"about_ca_system_score_gemma":0.00001653872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007467429,"about_ca_topic_score_gemma":0.0000417897,"domain_scores_codex":[0.9987775,0.00002791956,0.0005158011,0.0004074857,0.00005594014,0.0002153429],"domain_scores_gemma":[0.9994259,0.0000102927,0.0002519181,0.000239185,0.00002927778,0.00004340538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001428362,0.00503673,0.2662291,0.0008934604,0.00006631709,0.0002466188,0.03189595,0.05188096,0.01842705,0.4506769,0.001508997,0.1717096],"study_design_scores_gemma":[0.005641531,0.0009422944,0.6099598,0.0001582685,0.00002648353,0.00004088125,0.001780917,0.006160368,0.00714607,0.06563791,0.3007194,0.001786069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990118,0.001684461,0.00541599,0.001465084,0.0004326192,0.0002613887,0.0001842039,0.00002673061,0.0004115248],"genre_scores_gemma":[0.9990439,0.0003994009,0.00008691503,0.0001029349,0.00005822555,0.00004591999,0.00008410366,0.00002248562,0.0001560756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.385039,"threshold_uncertainty_score":0.6671831,"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."}}