{"id":"W4408467181","doi":"10.1186/s12940-025-01165-8","title":"Per- and poly-fluoroalkyl substances (PFAS) in circulation in a Canadian population: their association with serum-liver enzyme biomarkers and piloting a novel method to reduce serum-PFAS","year":2025,"lang":"en","type":"article","venue":"Environmental Health","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glycemic Index Laboratories","funders":"National Institute of Environmental Health Sciences; Federal Emergency Management Agency","keywords":"Liver enzyme; Medicine; Environmental health; Serum concentration; Population; Physiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268006,0.0002197278,0.0002663858,0.0002560088,0.0002598731,0.00005365272,0.0001299829,0.0001090291,0.0002126842],"category_scores_gemma":[0.00001697168,0.00021387,0.00002084043,0.0005465765,0.0000779101,0.0003655475,0.00009025579,0.0002409583,0.00001419726],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004331434,"about_ca_system_score_gemma":0.00009217189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3462451,"about_ca_topic_score_gemma":0.7000944,"domain_scores_codex":[0.9976732,0.0002571403,0.0003485876,0.0005987815,0.0003727231,0.000749588],"domain_scores_gemma":[0.999216,0.0001120937,0.0001079418,0.0001750061,0.000002115304,0.0003867946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005172448,0.00004700213,0.8370168,0.00002168546,0.000009308222,0.000003442383,0.002037951,0.0003601373,0.003109423,0.00002209659,0.00002743916,0.157293],"study_design_scores_gemma":[0.0007485459,0.00008406006,0.9921802,0.00008741765,0.000003721738,0.000007164472,0.0009090707,0.004215565,0.0005048388,0.00005795621,0.0009958301,0.0002055971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909136,0.004848367,0.0002724743,0.002506436,0.00004122987,0.0007240943,0.00009523064,0.00001413593,0.0005844773],"genre_scores_gemma":[0.9952355,0.0003336131,0.003293423,0.0008175434,0.00001625571,0.00004202164,0.00002837819,0.00001773018,0.0002155559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3538493,"threshold_uncertainty_score":0.9994907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462788718858253,"score_gpt":0.2864913511959188,"score_spread":0.2718634640073363,"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."}}