{"id":"W2149287053","doi":"10.1590/s1020-49892009000100006","title":"Costo-beneficio de un programa preventivo y terapéutico para reducir la deficiencia de hierro en Argentina","year":2009,"lang":"es","type":"article","venue":"Revista Panamericana de Salud Pública","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Medicine; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007075537,0.0004112478,0.0003610006,0.0005045574,0.0001802226,0.0004372617,0.0003886951,0.0003655365,0.002316731],"category_scores_gemma":[0.002027004,0.0001971196,0.0004743417,0.000553112,0.0001758596,0.0003053326,0.0003205616,0.000317848,0.0001586638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003211887,"about_ca_system_score_gemma":0.001315333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1012428,"about_ca_topic_score_gemma":0.06551664,"domain_scores_codex":[0.9992959,0.0003791183,0.00003160312,0.00006231733,0.0001446141,0.00008640706],"domain_scores_gemma":[0.9994642,0.0001664028,0.0001699393,0.00001695455,0.0001222569,0.00006023876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006138104,0.0008751319,0.604238,0.00209054,0.001449042,0.001496938,0.0003151887,0.1504167,0.00307855,0.01184331,0.01548402,0.2025744],"study_design_scores_gemma":[0.00189103,0.001891463,0.7962674,0.0006354711,0.001182903,0.001680711,0.0005387971,0.1650801,0.002192632,0.003619388,0.0249586,0.0000614219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648756,0.006918778,0.004936451,0.002542238,0.00006629891,0.0002687855,0.009981804,0.0000875812,0.01032257],"genre_scores_gemma":[0.9871551,0.003697786,0.003414134,0.00008957632,0.00004273038,0.0001593793,0.003245317,0.00001216886,0.002183866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012428,"threshold_uncertainty_score":0.2013071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009755074671179226,"score_gpt":0.2943119232136506,"score_spread":0.2845568485424714,"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."}}