{"id":"W2298852101","doi":"10.1590/1414-462x201500040159","title":"Blood antioxidant nutrients in riparian villagers of the Brazilian Amazon: its associations with wet/dry seasons and modulation by sociodemographic determinants","year":2016,"lang":"en","type":"article","venue":"Cadernos Saúde Coletiva","topic":"Indigenous Health and Education","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Montreal Biodome","funders":"Canadian Institutes of Health Research; International Development Research Centre; Public Health Agency; Public Health Agency of Canada","keywords":"Lycopene; Amazon rainforest; Carotene; Carotenoid; Population; Nutrient; Vitamin; Selenium; Antioxidant; Wet season; Animal science; Seasonality; Riparian zone; Biology; Geography; Food science; Ecology; Chemistry; Environmental health; Medicine; Endocrinology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006155155,0.0001866912,0.0003062601,0.0001474314,0.001115022,0.000008841873,0.0001855398,0.0003238871,0.0000479087],"category_scores_gemma":[0.0003169817,0.0001198764,0.00005176566,0.0004777662,0.0001452361,0.0001737049,0.00004684895,0.0003738599,0.00001917633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256012,"about_ca_system_score_gemma":0.0009738483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003340974,"about_ca_topic_score_gemma":0.001672519,"domain_scores_codex":[0.9975677,0.0006115008,0.0004651224,0.0003403152,0.0003303814,0.0006850515],"domain_scores_gemma":[0.9982867,0.0004423182,0.0005547556,0.0003012931,0.0002264838,0.000188443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003906698,0.000154972,0.9884937,0.0001584137,0.00002099122,0.000001050751,0.004841659,9.349033e-7,0.003925925,0.000149868,0.001237295,0.0009760859],"study_design_scores_gemma":[0.001962367,0.00009001506,0.9928825,0.0008279723,0.00004381171,0.000001414767,0.001057268,0.00004740657,0.001083515,0.0001089213,0.001724501,0.0001702547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911963,0.0002067672,0.0000570267,0.00552465,0.0004172541,0.00162324,0.0002214661,0.00003277272,0.0007205528],"genre_scores_gemma":[0.997981,0.0002360903,0.00004283063,0.000455323,0.0001016895,0.000142809,0.00001365602,0.00002942037,0.0009972469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006784664,"threshold_uncertainty_score":0.8575961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892922247628005,"score_gpt":0.3206225402013391,"score_spread":0.301693317725059,"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."}}