{"id":"W2155044728","doi":"","title":"Nutrition and rural development policy in Latin America: the human nutrition initiative network","year":2014,"lang":"en","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Food, Nutrition, and Cultural Practices","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Political science; Humanities; Latin Americans; Philosophy","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":[0.004483706,0.0001666459,0.0001134239,0.0004142563,0.002692062,0.00349705,0.0005364055,0.001720973,0.004325814],"category_scores_gemma":[0.002547962,0.0001167097,0.00008572055,0.0009327177,0.001723673,0.001797711,0.004179855,0.00137643,0.0001700158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004930004,"about_ca_system_score_gemma":0.01485283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548553,"about_ca_topic_score_gemma":0.04103495,"domain_scores_codex":[0.9989103,0.0006757195,0.0000178945,0.00007251807,0.00008355691,0.0002400492],"domain_scores_gemma":[0.9981574,0.0007285489,0.0001525001,0.0000483537,0.00010467,0.0008084322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002379488,0.0003695052,0.03413012,0.0007752807,0.00004135293,0.001876805,0.03590507,0.0009612127,0.001661952,0.3026427,0.3748182,0.2465799],"study_design_scores_gemma":[0.00003439516,0.00003862206,0.01875428,0.0002459695,0.000008273169,0.000094193,0.01214423,0.0002701872,0.0001859418,0.007491806,0.9607216,0.00001051355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09402481,0.02496476,0.0008193906,0.7045079,0.001116398,0.0001544618,0.0004050839,0.00005143692,0.1739557],"genre_scores_gemma":[0.755258,0.02817151,0.003542764,0.05315427,0.0007212951,0.0005627074,0.0005748349,0.00004888455,0.1579657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02548553,"threshold_uncertainty_score":0.05067432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340402601089908,"score_gpt":0.2392375591473025,"score_spread":0.2158335331364034,"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."}}