{"id":"W4296808103","doi":"10.1002/mrc.5315","title":"A holistic NMR framework to understand environmental impact: Examining the impacts of superparamagnetic iron oxide nanoparticles (SPIONs) in <scp><i>Daphnia magna</i></scp> via imaging, spectroscopy, and metabolomics","year":2022,"lang":"en","type":"article","venue":"Magnetic Resonance in Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Krembil Foundation; Canada Foundation for Innovation; Centre National de la Recherche Scientifique; Government of Ontario","keywords":"Daphnia magna; Metabolomics; Chemistry; Nuclear magnetic resonance spectroscopy; Metabolome; Environmental chemistry; Daphnia; Relaxometry; Toxicity; Nanotechnology; Magnetic resonance imaging; Ecology; Organic chemistry; Chromatography; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003307862,0.0003211287,0.0004182626,0.0000603927,0.0001567509,0.00005910556,0.0005181094,0.00009365816,0.000471692],"category_scores_gemma":[0.0002770599,0.0002947302,0.0000901959,0.0005737375,0.0002940391,0.00005159364,0.0003610045,0.0006997959,0.000003499369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320741,"about_ca_system_score_gemma":0.00006480123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002004376,"about_ca_topic_score_gemma":0.00003190729,"domain_scores_codex":[0.9976928,0.00005256543,0.000590701,0.0006083451,0.0004049281,0.0006506386],"domain_scores_gemma":[0.998298,0.0007252491,0.0001565719,0.0006292651,0.00001043651,0.0001804456],"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":[0.00003399714,0.000213525,0.05348981,0.00006210206,0.000006458275,0.00001352647,0.000771063,0.0002740337,0.943384,0.00002107144,0.0001011599,0.001629241],"study_design_scores_gemma":[0.0009891501,0.0001139132,0.07020655,0.0001262344,0.00010613,0.00008862683,0.008117038,0.004616403,0.9111023,0.003048264,0.001155206,0.0003301916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816456,0.01745512,0.00003319697,0.0002140337,0.000006846019,0.0001656848,0.00009500235,0.00002036582,0.0003640846],"genre_scores_gemma":[0.99799,0.0005625731,0.0008569654,0.0001253848,0.00003412903,0.0001587888,0.00002864079,0.00003815627,0.0002054116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03228171,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00873779186701283,"score_gpt":0.2400332466478666,"score_spread":0.2312954547808538,"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."}}