{"id":"W342032934","doi":"10.1016/j.aquatox.2015.05.016","title":"Interactive effects of waterborne metals in binary mixtures on short-term gill–metal binding and ion uptake in rainbow trout (Oncorhynchus mykiss)","year":2015,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; McMaster University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McMaster University; University of Saskatchewan","keywords":"Biotic Ligand Model; Rainbow trout; Gill; Metal; Environmental chemistry; Metal toxicity; Toxicity; Soft water; Chemistry; Metal ions in aqueous solution; Trout; Cadmium; Biophysics; Fish <Actinopterygii>; Ecotoxicology; Biology; Heavy metals; Fishery","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":[0.0001556153,0.0003750077,0.0003872684,0.0002735589,0.0003627382,0.0006880239,0.0003793466,0.0005383252,0.001410062],"category_scores_gemma":[0.0004627776,0.0004185708,0.0002471674,0.0001633837,0.0004556537,0.0004728139,0.0006038714,0.0005018988,0.0002137077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008867304,"about_ca_system_score_gemma":0.0004190984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062732,"about_ca_topic_score_gemma":0.02181919,"domain_scores_codex":[0.9997296,0.00004791272,0.00002345992,0.00008535104,0.00004537202,0.00006821972],"domain_scores_gemma":[0.9997066,0.00007792695,0.00005498896,0.00001840316,0.00004636412,0.00009582355],"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":[0.01067404,0.0003579311,0.005836853,0.00008760658,0.0001057192,0.00007818657,0.000129364,0.0002651544,0.9793375,0.00005153711,0.0001475034,0.002928456],"study_design_scores_gemma":[0.0002490995,0.005735978,0.1630449,0.00001935832,0.0004275837,0.0002329932,0.0005744156,0.006104027,0.82148,0.0002500251,0.001799681,0.00008196784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994486,0.000159786,0.0001207047,0.00002714466,0.00001425815,0.00000448999,0.00006114804,0.000009451715,0.0001544521],"genre_scores_gemma":[0.9978072,0.00008187292,0.0003484596,0.00003779552,0.000008783235,0.000009405725,0.000106149,0.00001006133,0.001590196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062732,"threshold_uncertainty_score":0.02113092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701715035663685,"score_gpt":0.2614534235191296,"score_spread":0.2444362731624928,"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."}}