{"id":"W4220999079","doi":"10.1021/acs.est.2c00254","title":"Widening the Lens on PFASs: Direct Human Exposure to Perfluoroalkyl Acid Precursors (pre-PFAAs)","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"North Carolina Policy Collaboratory; National Institute of Environmental Health Sciences; Agilent Technologies; U.S. Environmental Protection Agency","keywords":"Biomonitoring; Human health; Risk assessment; Biotransformation; Prioritization; Environmental chemistry; Environmental health; Environmental science; Chemistry; Medicine; Computer science; Engineering; Management science; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0147029,0.001658819,0.00232659,0.002992004,0.001671684,0.00654988,0.002259229,0.005586546,0.008933546],"category_scores_gemma":[0.01228169,0.0005926964,0.001620443,0.00187799,0.008464159,0.01239691,0.005790735,0.007235284,0.002925641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925059,"about_ca_system_score_gemma":0.006337093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139831,"about_ca_topic_score_gemma":0.01457243,"domain_scores_codex":[0.9929476,0.002244362,0.0005002894,0.001379092,0.002545726,0.0003828982],"domain_scores_gemma":[0.9718695,0.01484485,0.002756388,0.001934045,0.00739446,0.001200689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005187745,0.0001672969,0.007525473,0.008255882,0.0003255045,0.0004541175,0.002130045,0.00150825,0.03278083,0.07236611,0.05161049,0.8223572],"study_design_scores_gemma":[0.00002624238,0.0006358675,0.00633425,0.005806457,0.0002374063,0.0006672501,0.003137968,0.0005850059,0.01939168,0.08414361,0.8788276,0.0002065332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01558188,0.7113538,0.04582057,0.1930626,0.008240978,0.00009190713,0.0007520442,0.0005035973,0.02459263],"genre_scores_gemma":[0.1120187,0.7776116,0.03368903,0.05630522,0.007011099,0.0001229965,0.0004124579,0.0002214898,0.01260736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0147029,"threshold_uncertainty_score":0.0777573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063330913093115,"score_gpt":0.2513687448425044,"score_spread":0.2407354357115733,"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."}}