{"id":"W2770000084","doi":"10.1016/j.fct.2017.11.030","title":"Aflatoxin exposure in Nigerian children with severe acute malnutrition","year":2017,"lang":"en","type":"article","venue":"Food and Chemical Toxicology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Carleton University; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Aflatoxin; Kwashiorkor; Marasmus; Population; Malnutrition; Medicine; Albumin; Internal medicine; Chemistry; Food science; Environmental health","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":[0.0001870132,0.0004134454,0.0004111477,0.0008247179,0.0008894458,0.0005350472,0.0002134457,0.0005469217,0.001258028],"category_scores_gemma":[0.0008409194,0.000396297,0.000319893,0.000788492,0.0005223348,0.0003900217,0.0005012999,0.0007076201,0.0001833753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005112111,"about_ca_system_score_gemma":0.0006835144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573783,"about_ca_topic_score_gemma":0.01759311,"domain_scores_codex":[0.9997814,0.00003419949,0.00003268434,0.00002993089,0.00003313888,0.00008862767],"domain_scores_gemma":[0.9996898,0.00005354955,0.0001287668,0.000008780342,0.00004335309,0.00007571455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204341,0.0001405136,0.9921749,0.00004006359,0.00001032314,0.00399534,0.001073688,0.00002759198,0.0006144362,0.00002858602,0.00008694071,0.001687111],"study_design_scores_gemma":[0.00001092381,0.0009006495,0.9739092,0.00005862127,0.00004694987,0.01382054,0.009905454,0.0001025681,0.0004341917,0.0000624375,0.0007363558,0.00001221828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994078,0.0001493723,0.00001583906,0.00003597171,0.000003814944,0.000005260807,0.0000503849,0.000001135358,0.0003304929],"genre_scores_gemma":[0.9994346,0.0002363655,0.00003911752,0.00002520006,0.000003278929,0.000005107629,0.00004290716,6.207328e-7,0.0002128092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01573783,"threshold_uncertainty_score":0.03129244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007100598617728586,"score_gpt":0.2370818164955235,"score_spread":0.2299812178777949,"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."}}