{"id":"W4311044367","doi":"10.21203/rs.3.rs-2311554/v1","title":"Food inflation and child undernutrition in low and middle income countries","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; Bill and Melinda Gates Foundation","keywords":"Wasting; Food prices; Malnutrition; Food security; Economics; Psychological intervention; Environmental health; Inflation (cosmology); Medicine; Geography; Agriculture; 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":[0.001002267,0.0001968218,0.0002833551,0.0009621317,0.0004650018,0.0004454398,0.0001943325,0.0002448846,0.0001189355],"category_scores_gemma":[0.0001497714,0.0002175951,0.00004582448,0.0003648128,0.0001916486,0.0002336309,0.0009863352,0.001639646,0.000004652328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003838415,"about_ca_system_score_gemma":0.00004030927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003610474,"about_ca_topic_score_gemma":0.0005607133,"domain_scores_codex":[0.9973605,0.0005612695,0.0003328857,0.0005707667,0.0007692376,0.0004053125],"domain_scores_gemma":[0.9990365,0.0002964969,0.00007479774,0.000311415,0.0001598598,0.0001209474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003262872,0.0008169967,0.9288837,0.05244711,0.00008660537,0.00007736553,0.008725657,0.0003525255,0.00002354879,0.003654924,0.0005693036,0.001099351],"study_design_scores_gemma":[0.003846218,0.0009387155,0.927006,0.01327718,0.00001614127,0.00002891146,0.001003051,0.001037836,0.0008011885,0.04584987,0.005642951,0.0005519432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98331,0.004160947,0.000007567928,0.009816178,0.0002346383,0.001428507,0.0002743908,0.00007089803,0.0006969036],"genre_scores_gemma":[0.9975526,0.00138308,0.00004521818,0.0001021019,0.0002281022,0.0002110219,0.000415636,0.00003559393,0.00002661173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04219494,"threshold_uncertainty_score":0.8873269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05022790558467069,"score_gpt":0.3559387915533098,"score_spread":0.305710885968639,"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."}}