{"id":"W1191795573","doi":"10.1021/acs.est.5b03233","title":"Metal–Polycyclic Aromatic Hydrocarbon Mixture Toxicity in <i>Hyalella azteca</i>. 2. Metal Accumulation and Oxidative Stress as Interactive Co-toxic Mechanisms","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Environment and Climate Change Canada; Lakehead University","funders":"Environment Canada; Syncrude; Natural Sciences and Engineering Research Council of Canada; Alberta Newsprint Company; Alberta-Pacific Forest Industries; Canadian Natural Resources Limited","keywords":"Hyalella azteca; Polycyclic aromatic hydrocarbon; Environmental chemistry; Chemistry; Oxidative stress; Metal; Toxicity; Hydrocarbon; Metal toxicity; Trinitrotoluene; Heavy metals; Organic chemistry; Biology; Ecology; Biochemistry; Amphipoda","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":[0.0001064124,0.0003161004,0.0002919384,0.0002369457,0.0002889922,0.000475845,0.0002776596,0.0004407195,0.0006518833],"category_scores_gemma":[0.00008435894,0.0001578173,0.0002813152,0.0002089494,0.0002312168,0.0002862929,0.0004401049,0.0004893027,0.0001337425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006231216,"about_ca_system_score_gemma":0.000277582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00483668,"about_ca_topic_score_gemma":0.007135789,"domain_scores_codex":[0.9998583,0.00001310751,0.00001527471,0.00004966679,0.00004236016,0.00002140416],"domain_scores_gemma":[0.9998933,0.00001563572,0.00003337361,0.0000131078,0.00002141479,0.00002306721],"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":[0.0001310522,0.00001943592,0.001916667,0.00005532982,0.00001189867,0.00007140333,0.00001957554,0.0001002166,0.9966021,0.00002083001,0.00001405449,0.001037468],"study_design_scores_gemma":[0.00002229379,0.001228125,0.1146858,0.00001550937,0.00007018949,0.0003632052,0.0002246518,0.001565611,0.8792946,0.0001043072,0.002405076,0.00002052087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980742,0.0005411181,0.0002545552,0.0000432388,0.000007608788,0.0000149454,0.0003323327,0.00001756917,0.0007143799],"genre_scores_gemma":[0.9966971,0.0003153944,0.0007097975,0.00006968418,0.000004290946,0.00001921131,0.0005291234,0.000004754516,0.001650707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00483668,"threshold_uncertainty_score":0.009617031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189228129452316,"score_gpt":0.2625794384220491,"score_spread":0.2506871571275259,"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."}}