{"id":"W4391328847","doi":"10.3386/w32083","title":"The Effects of Immigration on Agricultural Development: Brazil in the Age of Mass Migration","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Migration, Racism, and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"University of St Andrews; Vanderbilt University","keywords":"Immigration; Mass migration; Demographic economics; Economic geography; Geography; Development economics; Political science; Demography; Economics; Sociology","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":[0.0006542485,0.0001547507,0.000216896,0.0005924236,0.0009362837,0.001053875,0.0002404332,0.000376959,0.001755274],"category_scores_gemma":[0.002940948,0.00007229894,0.0002401996,0.001006435,0.0008429158,0.0005672884,0.001396581,0.000468987,0.0001188986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979718,"about_ca_system_score_gemma":0.00143741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09221961,"about_ca_topic_score_gemma":0.1686066,"domain_scores_codex":[0.9996294,0.0001151289,0.00001175315,0.00003789181,0.00003931511,0.0001664865],"domain_scores_gemma":[0.9986823,0.0003445859,0.0004908195,0.00004922194,0.0001508283,0.0002822036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001797314,0.0001446745,0.9247625,0.0001468771,0.00005436994,0.001552167,0.01679288,0.0007327978,0.002133419,0.02087155,0.001523598,0.03110533],"study_design_scores_gemma":[0.00001000939,0.00009003907,0.9718682,0.000115445,0.0000404609,0.0002346082,0.01354348,0.0003863412,0.0003846946,0.001408817,0.01191076,0.000007179276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818398,0.001566948,0.00008685959,0.002396218,0.0000112609,0.000009110332,0.0001870268,0.000003012945,0.01389974],"genre_scores_gemma":[0.998292,0.0008280899,0.00005509401,0.00008461645,0.000008027372,0.000003709985,0.0000441075,0.000001413981,0.0006829422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09221961,"threshold_uncertainty_score":0.1833656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1455458398128042,"score_gpt":0.4789318454653747,"score_spread":0.3333860056525705,"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."}}