{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007833392,0.000264778,0.000268711,0.000253266,0.0002124109,0.0003387273,0.0001405907,0.0003620721,0.0004982228],"category_scores_gemma":[0.00009899883,0.0001456826,0.0002418691,0.0002235527,0.0001602406,0.0001639825,0.0003407503,0.0003406048,0.00008452079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561373,"about_ca_system_score_gemma":0.0001963136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002744542,"about_ca_topic_score_gemma":0.005257824,"domain_scores_codex":[0.9999197,0.000006512432,0.000005091854,0.00003093308,0.00001814893,0.00001961536],"domain_scores_gemma":[0.9999301,0.000006505052,0.00002564354,0.000006185701,0.00001698571,0.00001459814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000412563,0.0000294922,0.009643156,0.00004586988,0.00003191219,0.00007652357,0.00004484094,0.00007693174,0.9875746,0.00001902568,0.00005863474,0.001986471],"study_design_scores_gemma":[0.00001457033,0.0004533194,0.8043168,0.00000990336,0.00009757101,0.0003598013,0.0003824171,0.0009572991,0.192015,0.0001239099,0.001252254,0.00001714005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988405,0.0002156574,0.0002531141,0.00004706023,0.000005565768,0.000003857501,0.0003918452,0.00001313467,0.0002291782],"genre_scores_gemma":[0.9979823,0.0001920449,0.0002881267,0.0000787899,0.000002412914,0.000008263551,0.000595398,0.000004619708,0.0008479668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002744542,"threshold_uncertainty_score":0.005457163,"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."}}