{"id":"W2330178915","doi":"10.1021/es202759q","title":"Dietary and Waterborne Mercury Accumulation by Yellow Perch: A Field Experiment","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Manitoba; Fisheries and Oceans Canada","funders":"","keywords":"Perch; Mercury (programming language); Environmental chemistry; Environmental science; Fishery; Chemistry; Biology; Fish <Actinopterygii>; Computer 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":[0.0006487429,0.0009224302,0.0007917077,0.000484145,0.001140134,0.0004818694,0.0008009681,0.001378712,0.001405625],"category_scores_gemma":[0.0006862826,0.0005815502,0.0006789293,0.0003079929,0.000802462,0.000563023,0.0006678674,0.001368128,0.0003133505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009550792,"about_ca_system_score_gemma":0.001105953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008425134,"about_ca_topic_score_gemma":0.01896399,"domain_scores_codex":[0.9993556,0.00008831257,0.00004054132,0.0002957896,0.00011673,0.0001029805],"domain_scores_gemma":[0.9986954,0.000215699,0.0002323347,0.0002237087,0.0002834305,0.0003493302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007719465,0.01158199,0.01590961,0.0001122308,0.00009723695,0.0001632387,0.0007457616,0.0004239738,0.9571001,0.00007373295,0.0002353845,0.005837295],"study_design_scores_gemma":[0.002389844,0.2629042,0.1211239,0.00002590903,0.000548005,0.0003515798,0.0008711257,0.003334749,0.6046316,0.0004656978,0.003210567,0.0001429605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990804,0.00001403475,0.0003738738,0.0000229426,0.000007627174,0.0001442024,0.0001798905,0.00001890168,0.0001580873],"genre_scores_gemma":[0.9814805,0.0001890432,0.009243226,0.0003735609,0.00004240249,0.001320853,0.001045717,0.00005410726,0.006250749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008425134,"threshold_uncertainty_score":0.01675218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03339410026686055,"score_gpt":0.2679367305313686,"score_spread":0.2345426302645081,"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."}}