{"id":"W4321483428","doi":"10.1016/j.aquatox.2023.106432","title":"Daphnia magna sub-lethal exposure to phthalate pollutants elicits disruptions in amino acid and energy metabolism","year":2023,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":17,"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","keywords":"Daphnia magna; Phthalate; Metabolite; Diethyl phthalate; Metabolomics; Metabolic pathway; Phthalic acid; Metabolism; Chemistry; Pollutant; Glutathione; Environmental chemistry; Endocrine disruptor; Biochemistry; Toxicity; Biology; Chromatography; Enzyme; 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":[0.00004202761,0.0002255774,0.0001651549,0.000168591,0.0001243991,0.0001586902,0.0001124539,0.0002364422,0.0009666285],"category_scores_gemma":[0.0000492769,0.0001502863,0.0001588184,0.000144093,0.0001372845,0.0001081456,0.0001904075,0.000263936,0.000173094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710626,"about_ca_system_score_gemma":0.0001678263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00273568,"about_ca_topic_score_gemma":0.005840919,"domain_scores_codex":[0.9999379,0.00000435635,0.000004246844,0.00001834253,0.00001389192,0.00002120237],"domain_scores_gemma":[0.9999423,0.00001015196,0.00001679164,0.000006511567,0.000008712493,0.00001547597],"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":[0.0003040586,0.00002890264,0.00102076,0.00002317642,0.000006521144,0.00005958401,0.00001879441,0.00004951007,0.9976791,0.00001746917,0.00003310984,0.0007590292],"study_design_scores_gemma":[0.00002999685,0.001289365,0.1408309,0.000006364931,0.00003469371,0.000335188,0.0002018894,0.0006222806,0.8547968,0.00008637409,0.001755637,0.00001055822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982908,0.0002257329,0.0002599545,0.00004639969,0.00001027255,0.00000625031,0.0003016955,0.00001409464,0.0008446675],"genre_scores_gemma":[0.9944921,0.0003268672,0.0003744139,0.00006271165,0.000003279393,0.00001393764,0.0005239634,0.000004718469,0.004198085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00273568,"threshold_uncertainty_score":0.00543952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200013305963208,"score_gpt":0.3066233781548883,"score_spread":0.2946232450952562,"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."}}