{"id":"W2787316884","doi":"10.2147/phmt.s148515","title":"Prevalence and predictors of anemia among children under 5 years of age in Arusha District, Tanzania","year":2018,"lang":"en","type":"article","venue":"Pediatric Health Medicine and Therapeutics","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Tanzania Commission for Science and Technology","keywords":"Medicine; Anemia; Tanzania; Breastfeeding; Logistic regression; Odds ratio; Confidence interval; Demography; Environmental health; Pediatrics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003665343,0.0001171016,0.0003182683,0.0002334054,0.0000449939,0.000005535565,0.00009944744,0.00008067629,0.00001253713],"category_scores_gemma":[0.00003267531,0.0001011006,0.00001836358,0.0003938592,0.0003639869,0.00006570743,0.00003123275,0.0001587361,3.429643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002471578,"about_ca_system_score_gemma":0.00003225171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005557553,"about_ca_topic_score_gemma":0.00006858176,"domain_scores_codex":[0.9987449,0.00009564798,0.0005029124,0.0002077273,0.0002229593,0.0002258436],"domain_scores_gemma":[0.999286,0.0001563654,0.0002268449,0.0001560849,0.00004594716,0.0001287381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000716351,0.00007359272,0.9914871,0.0004918997,0.000008389892,0.000001011067,0.002415967,2.62484e-7,0.00001433761,0.0000252297,0.0002709854,0.005139542],"study_design_scores_gemma":[0.001686281,0.0007224993,0.9965992,0.0001307335,0.00007162664,0.000006090243,0.00007557331,0.00002002616,0.00006236685,0.0003542439,0.0001902859,0.00008104811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914737,0.006322283,0.00003244117,0.001493172,0.0002221925,0.0003456229,0.00002523841,0.00001764831,0.00006773319],"genre_scores_gemma":[0.9899457,0.008342355,0.00004897268,0.00102426,0.0006019388,0.000002529654,0.00001220207,0.00001379926,0.000008253924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005112078,"threshold_uncertainty_score":0.4122761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369090068143793,"score_gpt":0.309692690155964,"score_spread":0.2860017894745261,"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."}}