{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296297,0.0000905175,0.0002784449,0.00008735179,0.0003933673,0.000003463076,0.00008570296,0.0002374715,0.000261112],"category_scores_gemma":[0.001472489,0.00007239273,0.00002832057,0.0001349984,0.00007582913,0.0001869098,0.000104713,0.0002918889,0.00004800406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003894974,"about_ca_system_score_gemma":0.00009495996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004548289,"about_ca_topic_score_gemma":0.0005393183,"domain_scores_codex":[0.998355,0.0003222885,0.0004328399,0.0002611769,0.0002392229,0.0003894923],"domain_scores_gemma":[0.9983303,0.0006542974,0.0004027444,0.0002567129,0.0002160173,0.0001399504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002090547,0.00002261892,0.9735391,0.000194682,0.00004083908,4.762949e-7,0.01961257,8.324413e-8,0.00008951873,0.002513662,0.003249866,0.0007156716],"study_design_scores_gemma":[0.000652266,0.0001419313,0.9770723,0.0001054958,0.00002478538,7.029171e-8,0.001182385,8.306076e-7,0.00007857106,0.0134567,0.007196901,0.00008775735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920431,0.00005201414,0.00002049859,0.004338184,0.0002601572,0.0004306487,0.0002533821,0.00006034812,0.00254171],"genre_scores_gemma":[0.997069,0.00005184537,0.0001111987,0.0001026768,0.0004246416,0.00006119558,0.00001505627,0.00001067545,0.002153737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01843018,"threshold_uncertainty_score":0.3025503,"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."}}