{"id":"W4399298416","doi":"10.3390/nu16111748","title":"Multiple Infections, Nutrient Deficiencies, and Inflammation as Determinants of Anemia and Iron Status during Pregnancy: The MINDI Cohort","year":2024,"lang":"en","type":"article","venue":"Nutrients","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Secretaría Nacional de Ciencia, Tecnología e Innovación; McGill University","keywords":"Anemia; Hepcidin; Ferritin; Medicine; Soluble transferrin receptor; Odds ratio; Immunology; Hemoglobin; Iron deficiency; Iron-deficiency anemia; Inflammation; Internal medicine; Physiology; Gastroenterology; Iron status","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004371838,0.0003464086,0.0003357887,0.0003619498,0.000764379,0.0004574411,0.0004252244,0.0002715888,0.001304929],"category_scores_gemma":[0.0007017456,0.0004713842,0.0005011852,0.000635886,0.0002204909,0.0002694994,0.0006089923,0.0004658932,0.0001678026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115575,"about_ca_system_score_gemma":0.0003950843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0397085,"about_ca_topic_score_gemma":0.04721964,"domain_scores_codex":[0.9998608,0.0000272186,0.000009543389,0.00003996112,0.00001862714,0.0000439571],"domain_scores_gemma":[0.9998317,0.00001859463,0.00005270093,0.00004735507,0.00001295102,0.00003664527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001677285,0.00005707969,0.996276,0.00001166827,0.00009962844,0.0001376901,0.0005446034,0.00002455496,0.0007119669,0.00004996573,0.00008780573,0.001831323],"study_design_scores_gemma":[0.00001040804,0.000110698,0.998399,0.000008322113,0.00008581245,0.0002272851,0.0005545094,0.000161585,0.00007764992,0.00002858352,0.0003324807,0.000003677486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994752,0.00006219716,0.00006379271,0.00001331965,0.000001871124,0.000008686831,0.0001879741,0.000001642436,0.0001852176],"genre_scores_gemma":[0.9992494,0.00006099457,0.0001439917,0.00002062189,0.000003455772,0.00001789882,0.0002399064,0.000001656179,0.0002620122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0397085,"threshold_uncertainty_score":0.07895476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007210107388840974,"score_gpt":0.2491730289681948,"score_spread":0.2419629215793538,"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."}}