{"id":"W2277417140","doi":"10.1177/156482650402500303","title":"Ecuadorian Andean Women's Nutrition Varies with Age and Socioeconomic Status","year":2004,"lang":"en","type":"article","venue":"Food and Nutrition Bulletin","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Socioeconomic status; Micronutrient; Anthropometry; Context (archaeology); Environmental health; Malnutrition; Medicine; Agriculture; Riboflavin; Demography; Gerontology; Geography; Population; Biology; Food science","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":[0.0003614947,0.0001658565,0.0001315847,0.0004096463,0.0003114301,0.0004621267,0.0001669755,0.000115241,0.001345763],"category_scores_gemma":[0.001719698,0.0001111356,0.00007619666,0.0006338904,0.0002124777,0.0002363038,0.0003822487,0.0001197736,0.0001320531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285623,"about_ca_system_score_gemma":0.0001139044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01762353,"about_ca_topic_score_gemma":0.02709748,"domain_scores_codex":[0.9998355,0.0000681135,0.000007597961,0.00002280696,0.00001681571,0.00004909471],"domain_scores_gemma":[0.9995932,0.00009243754,0.0001978058,0.00002645679,0.00004546862,0.00004454285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006875492,0.00002689902,0.9920379,0.000006765816,0.00001627913,0.0001033019,0.001293431,0.00002045443,0.0002695437,0.00002807906,0.0001058982,0.006022829],"study_design_scores_gemma":[0.000001922518,0.00003027326,0.9984755,0.000003557219,0.000006057708,0.00005627055,0.001033364,0.00003755282,0.00003416746,0.00001171713,0.000308475,0.000001064745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995911,0.00008116446,0.00001924689,0.00002321078,6.836102e-7,0.000001189938,0.00003237274,6.022589e-7,0.0002504272],"genre_scores_gemma":[0.9994774,0.0001228842,0.00004115384,0.0000119705,0.000001956812,0.000005049947,0.00005948848,5.871036e-7,0.0002795529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01762353,"threshold_uncertainty_score":0.03504193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006793786445241681,"score_gpt":0.2100013873361226,"score_spread":0.203207600890881,"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."}}