{"id":"W109298123","doi":"10.13140/2.1.2051.8407","title":"Are There Nutrient-based Poverty Traps? Evidence on Iron Deficiency and Schooling Attainment in Peru","year":2014,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Fine Particle Research Institute; University of Ottawa; Inter-American Development Bank","keywords":"Poverty; Earnings; Micronutrient; Pill; Human capital; Outreach; Micronutrient deficiency; Supplemental Nutrition Assistance Program; Food insecurity; Public health; Anemia; Environmental health; Medicine; Economics; Economic growth; Malnutrition; Psychology; Socioeconomics; Geography; Nursing","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":[0.001336988,0.0001997653,0.0002799202,0.001780241,0.0004740806,0.0009369892,0.0004320858,0.000482243,0.004013525],"category_scores_gemma":[0.006307995,0.0002277144,0.0003605252,0.00211879,0.001155476,0.0008405221,0.002094286,0.0005914413,0.0002475145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005284809,"about_ca_system_score_gemma":0.0004601822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01928825,"about_ca_topic_score_gemma":0.0262145,"domain_scores_codex":[0.9993085,0.0003509065,0.000041912,0.0001046402,0.00007579468,0.0001183448],"domain_scores_gemma":[0.9954748,0.001651672,0.001990287,0.0002151581,0.0004113419,0.0002567954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000239012,0.00008857744,0.9609858,0.0003846587,0.0003166875,0.0003636194,0.002394107,0.0001937102,0.0002344613,0.002639902,0.00153015,0.03062927],"study_design_scores_gemma":[0.00001277914,0.0001012754,0.9936772,0.0002289446,0.0001256352,0.0001660827,0.001679436,0.0001477274,0.00007249472,0.001047406,0.002733593,0.000007508766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632633,0.01640286,0.0004706552,0.006830099,0.00002052686,0.0000121514,0.001338857,0.0000266247,0.01163487],"genre_scores_gemma":[0.9949976,0.004102829,0.00009294734,0.0002043316,0.00001767273,0.000007532235,0.0002757652,0.000003238932,0.0002979627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01928825,"threshold_uncertainty_score":0.03835195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869515165250848,"score_gpt":0.2498023663378349,"score_spread":0.2211072146853264,"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."}}