{"id":"W4386802042","doi":"10.1038/s41467-023-41543-9","title":"Food inflation and child undernutrition in low and middle income countries","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Children's Investment Fund Foundation; Global Affairs Canada; Bill and Melinda Gates Foundation","keywords":"Wasting; Malnutrition; Food prices; Food security; Environmental health; Psychological intervention; Medicine; Economics; Inflation (cosmology); Agriculture; Geography; Economic growth; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634445,0.00008701406,0.0001070554,0.0002961127,0.0003207243,0.0000981516,0.0002072425,0.0001876842,0.000002888637],"category_scores_gemma":[0.00007867745,0.000092648,0.00001748498,0.0004909888,0.0001253559,0.0002757564,0.0001720931,0.0005013444,0.000008040613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004523536,"about_ca_system_score_gemma":0.000005322795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000185915,"about_ca_topic_score_gemma":0.001207824,"domain_scores_codex":[0.9993582,0.00009054639,0.0001818671,0.0001432831,0.0001012124,0.0001248423],"domain_scores_gemma":[0.9992175,0.0002304437,0.00004960779,0.0004077125,0.00005447057,0.0000402361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004596271,0.0005489488,0.9201751,0.001441744,0.00007147411,0.000003947602,0.007340032,0.0000391817,0.0002502545,0.06555481,0.002261114,0.001853763],"study_design_scores_gemma":[0.0014878,0.00007114198,0.9745517,0.0009681,0.00001446001,0.00001360147,0.0001599317,0.001247763,0.0007736359,0.007951391,0.012582,0.0001784465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387078,0.005445208,0.000004157635,0.05436583,0.000134457,0.0003324678,0.00005080034,0.0001655558,0.0007937523],"genre_scores_gemma":[0.9968666,0.001881096,0.0002533653,0.0006692106,0.00004351664,0.00002954026,0.0002341568,0.00001269464,0.000009813761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05815884,"threshold_uncertainty_score":0.3778076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189280719545623,"score_gpt":0.2911052770139272,"score_spread":0.269212469818471,"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."}}