{"id":"W2804465645","doi":"10.1016/j.cbpc.2018.05.009","title":"A FTIRM study of the interactive effects of metals (zinc, copper and cadmium) in binary mixtures on the biochemical constituents of the gills in rainbow trout ( Oncorhynchus mykiss )","year":2018,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Rio Tinto; International Zinc Association; Canadian Light Source; Copper Development Association; International Copper Association; Nickel Producers Environmental Research Association; U.S. Environmental Protection Agency","keywords":"Rainbow trout; Cadmium; Zinc; Chemistry; Gill; Metal; Copper; Environmental chemistry; Metal toxicity; Trout; Fish <Actinopterygii>; Heavy metals; Biochemistry; Biology; Fishery; Organic chemistry","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":[0.0001187864,0.0001805194,0.0001385975,0.0001524726,0.0002524407,0.0001202267,0.0001482191,0.0002031829,0.0009570897],"category_scores_gemma":[0.0001244703,0.0001420633,0.0001990525,0.0001424066,0.0001926036,0.0001775725,0.0001526859,0.0002536292,0.0001273624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001571039,"about_ca_system_score_gemma":0.0001430173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963741,"about_ca_topic_score_gemma":0.002070107,"domain_scores_codex":[0.9999486,0.000006940534,0.000003032476,0.0000155097,0.0000161535,0.000009739044],"domain_scores_gemma":[0.9999449,0.00001265571,0.00001605558,0.000004581179,0.0000121034,0.000009564055],"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":[0.0001984665,0.00002405506,0.0007357945,0.00001525935,0.000004881501,0.0000124368,0.00001674934,0.00005581304,0.9982991,0.00001952144,0.00001329559,0.0006047313],"study_design_scores_gemma":[0.00001928888,0.0008964757,0.08559874,0.000003401992,0.00005480952,0.0001574857,0.0001300928,0.001978264,0.910414,0.00006427541,0.0006712563,0.00001187797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989445,0.000144153,0.0004876586,0.00001292745,0.000003389814,0.0000038869,0.00008252698,0.00000738562,0.0003136545],"genre_scores_gemma":[0.9977239,0.0001128365,0.00095919,0.0000160391,0.000002797833,0.000006899594,0.0001105503,0.000004326179,0.00106344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001963741,"threshold_uncertainty_score":0.003904581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779965412534864,"score_gpt":0.2978188624278131,"score_spread":0.2800192083024645,"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."}}