{"id":"W2346011422","doi":"10.7717/peerj.1945","title":"Association between food insecurity and anemia among women of reproductive age","year":2016,"lang":"en","type":"article","venue":"PeerJ","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Anemia; Micronutrient; Medicine; Logistic regression; Socioeconomic status; Demography; Environmental health; Malnutrition; Cross-sectional study; Micronutrient deficiency; Food security; Gerontology; Population; Geography; Agriculture; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004760941,0.0001436873,0.000164649,0.0005174887,0.000328355,0.0002960178,0.0002317101,0.0002814684,0.002496576],"category_scores_gemma":[0.001615262,0.0001710472,0.0002566729,0.0007450411,0.0002344117,0.0002037055,0.0003100262,0.0004250008,0.0001572406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956089,"about_ca_system_score_gemma":0.0002217341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005683959,"about_ca_topic_score_gemma":0.008556413,"domain_scores_codex":[0.9998261,0.00005262234,0.00002354685,0.00002977268,0.00002961603,0.00003836939],"domain_scores_gemma":[0.9989523,0.0002061145,0.0005632014,0.00004175167,0.00006219136,0.0001744999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002465461,0.00001077117,0.9991168,0.000009188695,0.00001292537,0.00005329674,0.00005943294,0.000005411046,0.00004697764,0.000007597555,0.0000696358,0.000583226],"study_design_scores_gemma":[0.000002212349,0.00005045133,0.9993567,0.00001628197,0.00001376756,0.0001999638,0.0001706421,0.0000338461,0.00001081591,0.00001183802,0.0001321987,0.000001312166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977874,0.0009097171,0.0000257545,0.0002232433,0.000008861609,0.000008728234,0.0004243375,0.000001821268,0.0006100276],"genre_scores_gemma":[0.9993894,0.0003094005,0.00002669829,0.00004357414,0.000008140592,0.000006272112,0.0001107007,4.546268e-7,0.0001054821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005683959,"threshold_uncertainty_score":0.01130176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117214781328627,"score_gpt":0.4063335546310329,"score_spread":0.2891187733024059,"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."}}