{"id":"W2561531258","doi":"10.4236/ojog.2017.71005","title":"Determinants of Iron Consumption among Pregnant Women in Southern Senegal","year":2016,"lang":"en","type":"article","venue":"Open Journal of Obstetrics and Gynecology","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrition International","funders":"","keywords":"Medicine; Logistic regression; Consumption (sociology); Anemia; Iron supplementation; Demography; Cross-sectional study; Pregnancy; Public health; Environmental health; Obstetrics; Iron deficiency; Pediatrics; Internal medicine; Nursing","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":[0.0003831804,0.0003665212,0.0002287606,0.0007829455,0.0006205763,0.0005383578,0.0002361917,0.0003254957,0.001700136],"category_scores_gemma":[0.0009592231,0.0003197714,0.0003095545,0.001496661,0.0004698323,0.00031244,0.0005270148,0.0003755293,0.0001991782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006605114,"about_ca_system_score_gemma":0.000556564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05998705,"about_ca_topic_score_gemma":0.07501938,"domain_scores_codex":[0.9997962,0.0000724072,0.00002380211,0.00002956344,0.00002249139,0.00005544108],"domain_scores_gemma":[0.9997575,0.00005505416,0.00009391886,0.00001236869,0.0000263328,0.00005488336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003993076,0.00003897932,0.9945229,0.00005209304,0.00004226069,0.0007040381,0.00144701,0.00005074499,0.0005038828,0.00005242826,0.0001868857,0.00235888],"study_design_scores_gemma":[0.000003017427,0.00005100428,0.9960456,0.00003666242,0.00002083147,0.0004148535,0.002807694,0.00007810024,0.00005448268,0.00002480602,0.0004574324,0.000005533905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986204,0.0003506403,0.0000139519,0.0001800661,0.000004253007,0.000009416839,0.0002372201,0.000002128673,0.0005818576],"genre_scores_gemma":[0.9993912,0.0002973291,0.00003537842,0.00004743316,0.000001951107,0.00001279132,0.00008074288,8.300466e-7,0.0001324187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05998705,"threshold_uncertainty_score":0.1192757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970160860381579,"score_gpt":0.2816306880866482,"score_spread":0.2619290794828324,"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."}}