{"id":"W2474104678","doi":"10.1257/app.20140494","title":"Iron Deficiency and Schooling Attainment in Peru","year":2016,"lang":"en","type":"preprint","venue":"American Economic Journal Applied Economics","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Fine Particle Research Institute; University of Ottawa; Inter-American Development Bank","keywords":"Poverty; Earnings; Human capital; Pill; Outreach; Anemia; Medicine; Food insecurity; Public health; Micronutrient deficiency; Micronutrient; Environmental health; Iron deficiency; Economic growth; Economics; Psychology; Gerontology; Malnutrition; Demographic economics; Geography; Nursing; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916429,0.0001204147,0.0001251832,0.0009016653,0.0003851024,0.0007061559,0.0001999078,0.0003021764,0.004495549],"category_scores_gemma":[0.003064669,0.00008360352,0.0001243789,0.001133712,0.0003808093,0.0002821427,0.0008643451,0.0004597181,0.0003353469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007227007,"about_ca_system_score_gemma":0.0003127431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03351896,"about_ca_topic_score_gemma":0.03850709,"domain_scores_codex":[0.9997961,0.00009227229,0.000009283175,0.00002150478,0.00002873448,0.00005208827],"domain_scores_gemma":[0.9987963,0.0002369553,0.0006231497,0.00003419814,0.000115297,0.0001940415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007108229,0.00009784717,0.9892518,0.00003066318,0.00004028559,0.0003376555,0.0007836125,0.0002634977,0.0001071796,0.001476368,0.001302432,0.006237662],"study_design_scores_gemma":[0.000006844503,0.00006319252,0.9956649,0.00002960616,0.00001612957,0.0001380594,0.001072942,0.0005242116,0.00002233831,0.00059666,0.001861684,0.000003374936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906052,0.0009308833,0.00007698464,0.001734848,0.000006396439,0.0000068533,0.0005051473,0.000008382045,0.006125237],"genre_scores_gemma":[0.9984803,0.0003721774,0.00003158458,0.00004163988,0.000008743463,0.000003987207,0.0002450705,0.000001324242,0.0008153107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03351896,"threshold_uncertainty_score":0.06664771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009162121892544799,"score_gpt":0.2409249789095153,"score_spread":0.2317628570169705,"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."}}