{"id":"W4382680830","doi":"10.1016/j.envres.2023.116512","title":"Environmental metabolomics uncovers oxidative stress, amino acid dysregulation, and energy impairment in Daphnia magna with exposure to industrial effluents","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Ministry of the Environment, Conservation and Parks; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Government of Ontario; U.S. Environmental Protection Agency","keywords":"Daphnia magna; Effluent; Pollutant; Environmental chemistry; Metabolomics; Daphnia; Oxidative stress; Wastewater; Toxicity; Sewage treatment; Metabolic pathway; Metabolite; Xenobiotic; Biology; Chemistry; Ecotoxicology; Metabolism; Biochemistry; Ecology; Bioinformatics; Environmental science; Environmental engineering; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001063756,0.0004518947,0.0004129413,0.0004224909,0.0005325499,0.00006356887,0.0005068273,0.000379267,0.004010112],"category_scores_gemma":[0.0000411339,0.0004306852,0.00006092483,0.0008660384,0.001521446,0.0004678527,0.001628338,0.0007034183,0.001596026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486166,"about_ca_system_score_gemma":0.00002246947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001634456,"about_ca_topic_score_gemma":0.0005641895,"domain_scores_codex":[0.9951011,0.0006070299,0.0004863832,0.001242033,0.00122506,0.001338389],"domain_scores_gemma":[0.9985785,0.0002417705,0.0001032748,0.0005476754,0.00000134402,0.0005273688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006136677,0.0008273327,0.8255155,0.000005511034,0.00005851896,0.0002143028,0.001005238,0.004491923,0.1484753,0.0000244281,0.001327275,0.01744101],"study_design_scores_gemma":[0.002955396,0.002738158,0.9157022,0.00002632128,0.0000222499,0.00003324492,0.002734618,0.0002095484,0.06724083,0.0003839704,0.007361298,0.0005921288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972692,0.00007293084,0.00001389646,0.0003783979,0.0001098682,0.0007959102,0.0002020602,0.00004551754,0.001112282],"genre_scores_gemma":[0.9945769,0.0004226005,0.000256007,0.0002850634,0.00006719196,0.0003993232,0.0002130005,0.00006742608,0.003712434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09018674,"threshold_uncertainty_score":0.9998145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427718425158959,"score_gpt":0.2688767486251423,"score_spread":0.2445995643735527,"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."}}