{"id":"W3095456007","doi":"10.1016/j.jhazmat.2020.124424","title":"Trophic transfer of emerging metallic contaminants in a neotropical mangrove ecosystem food web","year":2020,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agencia Nacional de Promoción Científica y Tecnológica; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Trophic level; Biomagnification; Mangrove; Food web; Environmental science; Estuary; Oyster; Ecology; Ecosystem; Bay; Shrimp farming; Food chain; Abiotic component; Fishery; Environmental chemistry; Biology; Aquaculture; Oceanography; Chemistry","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":[0.000128715,0.0001274571,0.000119166,0.0004093641,0.0005749842,0.0005434402,0.0001978181,0.0002328348,0.001293248],"category_scores_gemma":[0.0003772567,0.0001276705,0.0001378497,0.0001964507,0.0003230599,0.0003824587,0.0005083525,0.0001540741,0.0001405362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007713256,"about_ca_system_score_gemma":0.0003156096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603496,"about_ca_topic_score_gemma":0.0761046,"domain_scores_codex":[0.9999647,0.000004783967,0.000001585741,0.00001421904,0.000004374464,0.00001029014],"domain_scores_gemma":[0.9998171,0.00005474309,0.00003406916,0.00001544219,0.00003654687,0.0000420826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002458743,0.00009553292,0.9117435,0.00006372398,0.0001346429,0.0004741667,0.002888347,0.002139733,0.06699418,0.0006509529,0.0001802059,0.01438917],"study_design_scores_gemma":[0.000002951297,0.00003103352,0.9945769,0.000006857424,0.00001736311,0.00008068297,0.001136373,0.003324005,0.000425501,0.0002047238,0.0001885812,0.000004912825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997502,0.00001080734,0.00002429763,0.000005103855,1.99832e-7,5.578671e-7,0.00001065374,7.79314e-7,0.0001974198],"genre_scores_gemma":[0.9997664,0.00001487455,0.00005809952,0.000004420309,2.257388e-7,9.249836e-7,0.00001369034,4.498943e-7,0.0001409535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02603496,"threshold_uncertainty_score":0.05176681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168610967409706,"score_gpt":0.2199737995577602,"score_spread":0.2031127028167896,"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."}}