{"id":"W2029641482","doi":"10.1016/j.scitotenv.2014.08.019","title":"Effect of eutrophication on mercury, selenium, and essential fatty acids in Bighead Carp (Hypophthalmichthys nobilis) from reservoirs of eastern China","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University; Queen's University; Toronto Metropolitan University","funders":"National Research Council Canada; International Development Research Centre; Fudan University; Natural Sciences and Engineering Research Council of Canada; Queen's University; McMaster University; University of Ottawa","keywords":"Hypophthalmichthys; Bighead carp; Mercury (programming language); Selenium; Fishery; China; Eutrophication; Silver carp; Environmental science; Environmental chemistry; Chemistry; Biology; Ecology; Fish <Actinopterygii>; Geography; Nutrient; Archaeology","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":[0.0001685304,0.0004050987,0.0003121253,0.0006334094,0.0006992488,0.0003445694,0.0003148796,0.0004369148,0.0005066876],"category_scores_gemma":[0.0002139208,0.0003376224,0.0003318593,0.000408891,0.000483032,0.0004748515,0.0005228536,0.0003599126,0.00009162191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008222364,"about_ca_system_score_gemma":0.0007614431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02512853,"about_ca_topic_score_gemma":0.06155541,"domain_scores_codex":[0.9998765,0.00001215133,0.00001199644,0.00004726722,0.00002435908,0.00002776259],"domain_scores_gemma":[0.9997644,0.00003361096,0.00005887958,0.00001125071,0.00005625932,0.00007558399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004312933,0.0003817474,0.5053415,0.0001320867,0.0002241183,0.001112763,0.002854756,0.0009470056,0.4784239,0.0001419267,0.0001339756,0.005993185],"study_design_scores_gemma":[0.00002165582,0.0006874308,0.9814527,0.000005741107,0.00009202623,0.0001922564,0.001229555,0.0007116453,0.0152166,0.00007664378,0.0002919179,0.00002178863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998592,0.00001342057,0.00001226441,0.000004589943,5.644098e-7,9.37818e-7,0.00002714271,5.825416e-7,0.00008118786],"genre_scores_gemma":[0.9991893,0.00002941117,0.00005004679,0.00001541223,7.697013e-7,0.000004633953,0.00009675057,0.000001264797,0.0006124778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02512853,"threshold_uncertainty_score":0.04996455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007532397641350609,"score_gpt":0.2351308255750077,"score_spread":0.2275984279336571,"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."}}