{"id":"W4282832215","doi":"10.1093/cdn/nzac060.045","title":"Intake of Foods That Could Be Fortified and of Nutrients That Could Potentially Contribute to Anemia Among Indian Women Before Fortification Implementation","year":2022,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrition International","funders":"","keywords":"Fortification; Riboflavin; Nutrient; Food fortification; Food science; Vitamin; Staple food; Dietary Reference Intake; Food composition data; Wheat flour; Niacin; Anemia; Fortified Food; Vitamin C; Vitamin B12; Micronutrient; Medicine; Toxicology; Environmental health; Biology; Population; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003766064,0.000263783,0.0001610413,0.000610136,0.000521554,0.0004697377,0.0004855428,0.0003124835,0.001178426],"category_scores_gemma":[0.001644166,0.0004012033,0.0004644775,0.001110162,0.0002222226,0.0003390985,0.0004474152,0.0005492247,0.0003315459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008443161,"about_ca_system_score_gemma":0.0009059712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1159744,"about_ca_topic_score_gemma":0.1393087,"domain_scores_codex":[0.999669,0.00007096898,0.00004160608,0.00006961517,0.00007096559,0.00007797019],"domain_scores_gemma":[0.9994997,0.00006811081,0.0001786768,0.00007130163,0.000125853,0.00005636954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001734023,0.0001603981,0.9864358,0.0000792658,0.00006895743,0.00007905548,0.00120649,0.0001822495,0.0009824734,0.00007835533,0.0008418442,0.009711701],"study_design_scores_gemma":[0.000005989913,0.0001215037,0.9974484,0.00002470398,0.00007157044,0.00008879843,0.0005872261,0.0002063155,0.0003193497,0.00002861143,0.001085932,0.00001155946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946992,0.0002236338,0.0002404686,0.000132774,0.00001024734,0.00006567303,0.002391371,0.00002849754,0.002208131],"genre_scores_gemma":[0.995914,0.0002762001,0.0007703481,0.0001590073,0.000008429924,0.0001168274,0.001526221,0.000006012014,0.001222973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159744,"threshold_uncertainty_score":0.2305986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347852060458775,"score_gpt":0.3188485737698976,"score_spread":0.2853700531653098,"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."}}