{"id":"W4392219345","doi":"10.1016/j.jdeveco.2024.103270","title":"The agricultural wage gap within rural villages","year":2024,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Consortium of International Agricultural Research Centers; Agricultural Technology Adoption Initiative; National Science Foundation","keywords":"Wage; Agriculture; Economics; Wage labour; Agricultural economics; Labour economics; Geography; Archaeology","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":[0.0005113601,0.0001657464,0.0002063016,0.00001563405,0.0003203276,0.0005213017,0.0003952942,0.00007236418,0.00008026623],"category_scores_gemma":[0.0000208976,0.00004302107,0.0001771131,0.0001138161,0.00004191361,0.0003284953,0.0000717613,0.0002066949,0.0001022576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613442,"about_ca_system_score_gemma":0.00007176277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004691,"about_ca_topic_score_gemma":0.0002436372,"domain_scores_codex":[0.9988222,0.00002694125,0.0006953244,0.0001192656,0.00007405445,0.0002622512],"domain_scores_gemma":[0.9992381,0.0002321464,0.0002993772,0.00003220419,0.00006682712,0.000131342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001392849,0.0001186881,0.003222478,0.00003855751,0.001020134,0.00005172927,0.004607355,0.0006780851,0.04427414,0.06555879,0.05715729,0.8231335],"study_design_scores_gemma":[0.0001755689,0.0001813934,0.1218045,0.00009611079,0.00002771959,0.0004449238,0.004317658,0.0001174354,0.004869043,0.001686878,0.865823,0.0004557303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889886,0.001082557,6.363789e-7,0.00634403,0.001208418,0.00007964701,0.000007864656,0.00002123521,0.00226701],"genre_scores_gemma":[0.9959059,0.001118997,0.0001952015,0.0001856905,0.001073479,0.000003203082,0.00001172135,0.00000149439,0.00150429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8226777,"threshold_uncertainty_score":0.5026925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449168382752419,"score_gpt":0.2006316566297899,"score_spread":0.1861399728022657,"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."}}