{"id":"W4308550516","doi":"10.1002/etc.5517","title":"Sublethal Exposure of Per- and Polyfluoroalkyl Substances of Varying Chain Length and Polar Functionality Results in Distinct Metabolic Responses in <i>Daphnia magna</i>","year":2022,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"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","keywords":"Daphnia magna; Metabolism; Metabolite; Metabolomics; Environmental chemistry; Daphnia; Amino acid; Pollutant; Metabolic pathway; Chemistry; Aquatic ecosystem; Toxicity; Biochemistry; Biology; Ecology; Chromatography; 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":[0.00005931355,0.0003011086,0.0001969986,0.0001234441,0.0001181123,0.0002452579,0.0001218114,0.000249374,0.0004385886],"category_scores_gemma":[0.00006960483,0.0001182816,0.0002217047,0.0001303996,0.0001577812,0.0001584438,0.0002019898,0.0003588818,0.0001125229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002648156,"about_ca_system_score_gemma":0.0001760077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002372456,"about_ca_topic_score_gemma":0.003884244,"domain_scores_codex":[0.9998969,0.000008316685,0.000007567101,0.00004176056,0.00002183424,0.00002370182],"domain_scores_gemma":[0.9999385,0.000008686201,0.00002245001,0.000005523666,0.00001214661,0.00001272965],"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":[0.0001288374,0.00001208776,0.00111657,0.00002472328,0.000006739775,0.00002166933,0.0000167053,0.00004333174,0.9975902,0.00001414697,0.00002264918,0.001002384],"study_design_scores_gemma":[0.00000760896,0.001086295,0.1316266,0.00001145068,0.00004920157,0.0001776117,0.0002055139,0.000993364,0.8636596,0.00006304702,0.002103349,0.00001633751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997764,0.0002765348,0.0006087733,0.00004868016,0.00001153951,0.00001097031,0.0007093673,0.00001465698,0.000555474],"genre_scores_gemma":[0.9944227,0.0004655649,0.001573284,0.0001508394,0.000004988817,0.00003751049,0.001102026,0.000006046045,0.002237007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002372456,"threshold_uncertainty_score":0.00471729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070720708034676,"score_gpt":0.2301715105183941,"score_spread":0.2194643034380474,"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."}}