{"id":"W2973574520","doi":"10.3390/nu11102275","title":"Micronutrient Deficiencies, Nutritional Status and the Determinants of Anemia in Children 0–59 Months of Age and Non-Pregnant Women of Reproductive Age in The Gambia","year":2019,"lang":"en","type":"article","venue":"Nutrients","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; UNICEF","keywords":"Medicine; Anemia; Underweight; Micronutrient; Micronutrient deficiency; Pediatrics; Overweight; Wasting; Iron deficiency; Vitamin A deficiency; Cross-sectional study; Iron-deficiency anemia; Malnutrition; Body mass index; Vitamin; Internal medicine; Retinol","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":[0.0006595658,0.0001618612,0.0004657031,0.0002258163,0.00004753396,0.00002490515,0.0002736005,0.00007672119,0.000006437233],"category_scores_gemma":[0.00008347004,0.0001077851,0.00005258751,0.000430787,0.0005021324,0.0001402257,0.0001211381,0.0001832257,5.66033e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006802504,"about_ca_system_score_gemma":0.00001864342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006235942,"about_ca_topic_score_gemma":0.0000612861,"domain_scores_codex":[0.9981636,0.0001899736,0.0005817606,0.0003826023,0.0003518744,0.0003301399],"domain_scores_gemma":[0.999023,0.0001752456,0.000280426,0.0004087967,0.00006926435,0.00004324706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001692108,0.0008914764,0.9806494,0.0002440486,0.000009886558,0.000006477653,0.01390402,0.000003165023,0.002030616,0.00005941388,0.00004789298,0.0004615575],"study_design_scores_gemma":[0.01038908,0.0002694949,0.9608544,0.0005449077,0.00001658217,0.00001615032,0.001355383,0.00002299119,0.02459938,0.001738374,0.00007295631,0.000120315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968261,0.001237188,7.306065e-7,0.0001153331,0.00009063022,0.001505746,0.0001313648,0.000004166679,0.0000888075],"genre_scores_gemma":[0.9994411,0.0003266828,0.00005368467,0.00006825358,0.00001974917,0.00004215499,0.00002473741,0.00001175301,0.00001181352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02256876,"threshold_uncertainty_score":0.439535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007591595496299799,"score_gpt":0.2390416233188804,"score_spread":0.2314500278225806,"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."}}