{"id":"W2334178753","doi":"10.1016/j.ehb.2016.03.002","title":"Early life height and weight production functions with endogenous energy and protein inputs","year":2016,"lang":"en","type":"article","venue":"Economics & Human Biology","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Pennsylvania; Bill and Melinda Gates Foundation","keywords":"Endogeneity; Anthropometry; Malnutrition; Protein–energy malnutrition; Instrumental variable; Econometrics; Production (economics); Range (aeronautics); Animal science; Demography; Statistics; Mathematics; Biology; Medicine; Economics; Internal medicine","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":[0.001686499,0.0009891546,0.0005291654,0.000777901,0.0003356652,0.001097206,0.001007809,0.0007273767,0.004150704],"category_scores_gemma":[0.005245404,0.0005986411,0.001101444,0.001285796,0.001079188,0.0006837327,0.001229586,0.0009074835,0.0008343835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154442,"about_ca_system_score_gemma":0.001634203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0697565,"about_ca_topic_score_gemma":0.05907566,"domain_scores_codex":[0.9992418,0.0003324721,0.000025233,0.0001217318,0.00006993016,0.0002087631],"domain_scores_gemma":[0.996042,0.002372146,0.0008760021,0.0002404171,0.0002251067,0.0002442194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003489671,0.0002615104,0.7481626,0.0002360975,0.0007627131,0.001383156,0.001112212,0.1984605,0.003653893,0.01752767,0.001229931,0.02686094],"study_design_scores_gemma":[0.00005277765,0.0003799588,0.7428448,0.00008654101,0.0003458207,0.0002686722,0.001045553,0.241346,0.001901646,0.007826696,0.00383094,0.00007060456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823509,0.0007036682,0.01257371,0.0005327333,0.0000147192,0.00003540363,0.001228621,0.0001384301,0.002421774],"genre_scores_gemma":[0.9925647,0.0004408346,0.00244439,0.00004194402,0.00001001099,0.00004019033,0.0008429596,0.00001657078,0.00359835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0697565,"threshold_uncertainty_score":0.138701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686179359179767,"score_gpt":0.2041750574465874,"score_spread":0.1873132638547897,"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."}}