{"id":"W3004236001","doi":"10.1002/etc.4676","title":"Food-Borne Exposure of Juvenile Rainbow Trout (<i>Oncorhynchus mykiss</i>) to Benzotriazole Ultraviolet Stabilizers Alone and in Mixture Induces Specific Transcriptional Changes","year":2020,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université du Québec à Rimouski; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Rainbow trout; Benzotriazole; Chemistry; Trout; Metabolism; Bioavailability; Gene; Biology; Biochemistry; Food science; Environmental chemistry; Pharmacology; Fish <Actinopterygii>; Fishery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00008471429,0.0002873276,0.0002252131,0.0001696607,0.0001876474,0.0002292508,0.0001269661,0.000243728,0.001416557],"category_scores_gemma":[0.00007951074,0.0001713364,0.0003147931,0.0001022745,0.0002236928,0.0001332934,0.0001933173,0.0003273626,0.0002411817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194239,"about_ca_system_score_gemma":0.0003025751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005487812,"about_ca_topic_score_gemma":0.01019696,"domain_scores_codex":[0.9998994,0.00001093079,0.000006604063,0.00003324298,0.00002199078,0.00002788572],"domain_scores_gemma":[0.9999219,0.000009258966,0.00002435526,0.000007593452,0.00001650234,0.00002046852],"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":[0.0002217223,0.00002261785,0.0008169055,0.00001435215,0.000005776903,0.00001742923,0.00001501563,0.00001784746,0.9986027,0.000005169367,0.00002074288,0.0002396441],"study_design_scores_gemma":[0.00004687588,0.005835852,0.1685484,0.00001432617,0.00008173357,0.0001730429,0.0003367887,0.0006489077,0.8229581,0.00003775347,0.001297974,0.00002024412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990174,0.0001624572,0.0001698086,0.00003113265,0.00001135775,0.00001136757,0.000278299,0.0000176133,0.0003005479],"genre_scores_gemma":[0.995322,0.0002238116,0.0004736629,0.00006924163,0.000005983737,0.00003848845,0.000771986,0.000009891686,0.00308489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005487812,"threshold_uncertainty_score":0.0109117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086005809218402,"score_gpt":0.1965038642650955,"score_spread":0.1856438061729115,"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."}}