{"id":"W2074429125","doi":"10.1016/j.aquatox.2007.02.023","title":"Interactive effects of metals in mixtures on bioaccumulation in the amphipod Hyalella azteca","year":2007,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Bioaccumulation; Hyalella azteca; Environmental chemistry; Arsenic; Chemistry; Copper; Cadmium; Amphipoda; Ecology; Biology; Crustacean","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":[0.0001350498,0.000432408,0.0004427523,0.0004023105,0.000438658,0.0008556842,0.000352057,0.0006014627,0.001393932],"category_scores_gemma":[0.0003518618,0.0003012674,0.0002356579,0.0002275357,0.0003417703,0.0003710802,0.0007991128,0.0005198581,0.0002494603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006940991,"about_ca_system_score_gemma":0.0002870661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004194165,"about_ca_topic_score_gemma":0.00805954,"domain_scores_codex":[0.9997205,0.00004953469,0.00002305562,0.00008220997,0.00008044478,0.00004429252],"domain_scores_gemma":[0.9997339,0.00008586125,0.00004893752,0.00001857601,0.00004417487,0.00006847866],"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":[0.002727153,0.0001059367,0.004434874,0.0001058757,0.0001004338,0.0001439798,0.00008003625,0.00034551,0.9867046,0.00004144144,0.00009098897,0.005119165],"study_design_scores_gemma":[0.00007420354,0.002152019,0.05763235,0.00001960089,0.000256157,0.0003230659,0.0003276253,0.002419968,0.9340485,0.0002091412,0.002500235,0.00003715245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985864,0.0004802211,0.0001316094,0.00005739788,0.00001157059,0.00000522278,0.0001049754,0.0000170385,0.0006056501],"genre_scores_gemma":[0.9975024,0.0002703485,0.0003383174,0.00004691698,0.000007429888,0.00000750832,0.0001333642,0.000008318747,0.001685504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004194165,"threshold_uncertainty_score":0.008339524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015293966719944,"score_gpt":0.2711179554657844,"score_spread":0.260965015798585,"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."}}