{"id":"W2560000752","doi":"10.1016/j.cbpc.2016.12.005","title":"Response of oxidative stress transcripts in the brain of wild yellow perch (Perca flavescens) exposed to an environmental gradient of methylmercury","year":2016,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University; University of New Brunswick","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Perch; Methylmercury; Catalase; Glutathione peroxidase; Oxidative stress; Biology; Bioaccumulation; Superoxide dismutase; Glutathione reductase; Glutathione; Zoology; Endocrinology; Biochemistry; Fishery; Ecology; Enzyme; Fish <Actinopterygii>","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":[0.00004777618,0.0001793865,0.0001657136,0.000206492,0.0002300419,0.0002264747,0.0001901116,0.0002493243,0.001450393],"category_scores_gemma":[0.0001143815,0.0001907482,0.0001262918,0.00008924485,0.0003908557,0.0002327589,0.0003090026,0.0005413616,0.0001414573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561832,"about_ca_system_score_gemma":0.0002155372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003771773,"about_ca_topic_score_gemma":0.007940604,"domain_scores_codex":[0.9999423,0.000003089072,0.000002551501,0.00002543071,0.000007960377,0.000018724],"domain_scores_gemma":[0.999916,0.000009996425,0.00001972283,0.000006529834,0.0000192697,0.0000284807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008898217,0.00005067189,0.004153491,0.0000284358,0.0000181775,0.00007988947,0.0001909072,0.0000314864,0.9932305,0.00006001858,0.00006652049,0.001200043],"study_design_scores_gemma":[0.0001074134,0.001719673,0.6048042,0.00001675548,0.00009212034,0.0005442515,0.002092207,0.0009587939,0.3878259,0.0003243458,0.001488224,0.00002612337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995011,0.00005562583,0.00008775198,0.00003327803,0.000006785609,0.000002925269,0.0001258754,0.000003399909,0.0001832683],"genre_scores_gemma":[0.9953915,0.0001561717,0.0004120682,0.00009421156,0.000006613504,0.00004598814,0.0004521525,0.000007773818,0.003433583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003771773,"threshold_uncertainty_score":0.007499635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399217974944791,"score_gpt":0.3271432879727868,"score_spread":0.2831511082233389,"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."}}