{"id":"W3202632307","doi":"10.3390/nu13103431","title":"Dietary Diversity and Undernutrition in Children Aged 6–23 Months in Sub-Saharan Africa","year":2021,"lang":"en","type":"article","venue":"Nutrients","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; York University; Wilfrid Laurier University; McGill University","funders":"","keywords":"Malnutrition; Dietary diversity; Environmental health; Diversity (politics); Medicine; Nutrition Disorders; Geography; Gerontology; Pediatrics; Food security; Internal medicine; Political science; Population; Agriculture","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":[0.0009796638,0.0004519353,0.0005867959,0.001602946,0.0007242807,0.0008826185,0.0003181754,0.0004656374,0.0007216054],"category_scores_gemma":[0.002096139,0.0004573231,0.0007328399,0.002871742,0.0004674708,0.0007019349,0.0009746348,0.0005532704,0.00008886881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004439267,"about_ca_system_score_gemma":0.0004580248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03606058,"about_ca_topic_score_gemma":0.04508226,"domain_scores_codex":[0.9994622,0.0001945395,0.00006897395,0.00008607975,0.00008007409,0.0001081189],"domain_scores_gemma":[0.9991148,0.000143663,0.0005019943,0.00003287781,0.00006281279,0.0001438371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004574039,0.00001504739,0.9973192,0.00003411087,0.0000855714,0.0001353197,0.0008100857,0.00003048205,0.0001276667,0.00001490447,0.00004278079,0.001339085],"study_design_scores_gemma":[0.000001984606,0.00004023096,0.9985428,0.00002592003,0.0000278297,0.0001468801,0.001006988,0.00004682334,0.00001549098,0.00001080019,0.0001315006,0.000002649347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981028,0.001388483,0.00004405509,0.00005998564,0.00000550217,0.000008057795,0.0002665409,0.000001432048,0.0001232919],"genre_scores_gemma":[0.9988305,0.0008708995,0.0001000489,0.00001714671,0.000007642242,0.00001010538,0.0001287143,8.634244e-7,0.00003415081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03606058,"threshold_uncertainty_score":0.07170135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223688156936142,"score_gpt":0.2390126502790975,"score_spread":0.2166438345854833,"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."}}