{"id":"W4360938256","doi":"10.1016/j.scitotenv.2023.163103","title":"PFAS in fish from AFFF-impacted environments: Analytical method development and field application at a Canadian international civilian airport","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; McGill University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Investigaciones Científicas y Técnicas; Canada Foundation for Innovation; Strategic Environmental Research and Development Program; Transport Canada","keywords":"Bioaccumulation; Biota; Environmental chemistry; Environmental science; Fish <Actinopterygii>; Extraction (chemistry); Chemistry; Fishery; Chromatography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007553725,0.0005520338,0.0002813991,0.0007965155,0.003385414,0.000724035,0.0006308065,0.0006812575,0.0009047639],"category_scores_gemma":[0.0005158008,0.0002577846,0.0004207741,0.0007915478,0.0008061908,0.0003336415,0.0003667345,0.000672808,0.0001954375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006034577,"about_ca_system_score_gemma":0.009082394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7760581,"about_ca_topic_score_gemma":0.8949673,"domain_scores_codex":[0.9992868,0.00003733086,0.00001217055,0.0001281615,0.0004113558,0.0001241987],"domain_scores_gemma":[0.9996523,0.00001707286,0.00001833615,0.00001021912,0.0002600041,0.00004209236],"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":[0.001044678,0.0004312284,0.152448,0.0001740947,0.00008233129,0.0005743746,0.00324557,0.003442392,0.7979169,0.0003498738,0.0009844729,0.03930601],"study_design_scores_gemma":[0.0001237771,0.002678717,0.6081562,0.00006576614,0.0002248158,0.0007261595,0.006774276,0.008355419,0.3617862,0.000247011,0.01068543,0.0001761568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952872,0.0001057345,0.002249982,0.00007331889,0.00001188177,0.000158488,0.000332482,0.00003264418,0.001748264],"genre_scores_gemma":[0.9799955,0.0003176045,0.01455026,0.00009518208,0.000005424747,0.00008065267,0.0003521302,0.00002477842,0.00457846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2239419,"threshold_uncertainty_score":0.4505213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162244189073709,"score_gpt":0.2697565194668776,"score_spread":0.2535321005595066,"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."}}