{"id":"W2803751009","doi":"10.3390/metabo8020034","title":"Investigation of Daphnia magna Sub-Lethal Exposure to Organophosphate Esters in the Presence of Dissolved Organic Matter Using 1H NMR-Based Metabolomics","year":2018,"lang":"en","type":"article","venue":"Metabolites","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Daphnia magna; Chemistry; Dissolved organic carbon; Organophosphate; Environmental chemistry; Triphenyl phosphate; Toxicity; Bioavailability; Partition coefficient; Metabolite; Phosphate; Metabolomics; Organic matter; Pesticide; Chromatography; Biochemistry; Organic chemistry; Pharmacology; Ecology; Fire retardant; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006651609,0.0001779111,0.0003113816,0.00008376096,0.00008954709,0.00001267776,0.0004612918,0.0001234702,0.002255956],"category_scores_gemma":[0.0001224312,0.0001390101,0.00005342131,0.0006546726,0.000935816,0.0001951204,0.0001822978,0.0001318603,0.0001646444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000477115,"about_ca_system_score_gemma":0.00001501578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009391377,"about_ca_topic_score_gemma":0.0002430826,"domain_scores_codex":[0.9983634,0.0003217787,0.0004281603,0.0003309767,0.0002325814,0.000323042],"domain_scores_gemma":[0.9990807,0.0001785183,0.0002488956,0.0004081294,0.00001018286,0.00007358906],"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":[0.00003150525,0.00004282568,0.4326536,0.000007381233,0.000006326472,0.000001448571,0.0006659301,0.0003564264,0.5661104,0.0000119904,0.00006739811,0.00004482146],"study_design_scores_gemma":[0.0002105723,0.00009473127,0.4704252,0.000007470809,0.00002947811,0.000002660846,0.0001133338,0.0001636553,0.5285858,0.0001888025,0.00009188829,0.00008644845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985862,0.0001245285,0.0002161774,0.0003676387,0.0001311973,0.0003998195,0.00001635411,0.000008000733,0.0001500881],"genre_scores_gemma":[0.9939172,0.000007273344,0.004564411,0.001384478,0.00002697837,0.00002161159,0.00000583259,0.00001761584,0.00005458413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03777158,"threshold_uncertainty_score":0.9986561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640291964457891,"score_gpt":0.2296745206665952,"score_spread":0.2132716010220163,"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."}}