{"id":"W4233939054","doi":"10.21203/rs.2.21388/v1","title":"Prevalence and determinants of undernutrition among children of local farmers in central Malawi","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; McGill University","keywords":"Underweight; Wasting; Malnutrition; Anthropometry; Environmental health; Logistic regression; Medicine; Public health; Child mortality; Rural area; Demography; Pediatrics; Population; Body mass index; Overweight","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":[0.0003949088,0.0002246765,0.0001968262,0.0006615219,0.0005722389,0.0006112183,0.0003154998,0.0002421539,0.001383535],"category_scores_gemma":[0.0008620581,0.0002345007,0.0001519771,0.0008327228,0.0005459202,0.0004259901,0.0005748949,0.0003339613,0.0001247175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613447,"about_ca_system_score_gemma":0.0005919365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03552119,"about_ca_topic_score_gemma":0.05095217,"domain_scores_codex":[0.9997146,0.00008008705,0.00002328531,0.00004492292,0.00004286441,0.00009424563],"domain_scores_gemma":[0.9993542,0.00007456858,0.0003559531,0.00002090096,0.0000690618,0.0001252658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001432494,0.00001771865,0.9977373,0.00001894766,0.00001156033,0.0001427024,0.0007978316,0.0000120288,0.0002331452,0.00001758474,0.00007831329,0.0009185123],"study_design_scores_gemma":[0.00000113514,0.0000315119,0.9981806,0.00001503116,0.000005859854,0.0001431237,0.001409872,0.00004316077,0.00002801863,0.000007360707,0.0001329285,0.000001467674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995253,0.0001352424,0.00001806653,0.00004773698,0.000001079579,0.000006832195,0.0001388341,0.000001113958,0.0001257932],"genre_scores_gemma":[0.9997016,0.0001036069,0.00003053689,0.00001493742,0.00000178598,0.000007012702,0.00006141702,3.351362e-7,0.00007881319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03552119,"threshold_uncertainty_score":0.07062888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08055071774264783,"score_gpt":0.4061235547658665,"score_spread":0.3255728370232187,"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."}}