{"id":"W2324583584","doi":"10.1021/es302471n","title":"Per- and Polyfluoroalkyl Substances in Landfill Leachate: Patterns, Time Trends, and Sources","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; AXYS Technologies (Canada); Fisheries and Oceans Canada","funders":"","keywords":"Leachate; Perfluorooctane; Chemistry; Environmental chemistry; Perfluorooctanoic acid; Contamination; Sulfonate; Organic chemistry; Ecology","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":[0.0003067138,0.0003471565,0.0002586537,0.001341871,0.0002715566,0.00050618,0.0001516261,0.0002930519,0.0004011423],"category_scores_gemma":[0.0001948059,0.0001054858,0.0002821535,0.001390899,0.0002045301,0.000297216,0.0002453103,0.0001071794,0.0001982124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009244895,"about_ca_system_score_gemma":0.0004172726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010882,"about_ca_topic_score_gemma":0.01483966,"domain_scores_codex":[0.9997757,0.00001476156,0.00002143193,0.00007332547,0.00007947239,0.00003523211],"domain_scores_gemma":[0.9997919,0.00001260361,0.0000877319,0.000008426718,0.00008348197,0.00001590617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008098821,0.00008022487,0.5483838,0.0003407975,0.0001199982,0.0002971441,0.0006707679,0.001248756,0.3878013,0.0001544842,0.0002433731,0.05984936],"study_design_scores_gemma":[0.000008093604,0.0003703682,0.8625206,0.00002605474,0.00008773104,0.0006064594,0.0006740398,0.001141855,0.1297594,0.0001484777,0.004621479,0.00003538818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971608,0.0006946712,0.0004756989,0.00002025565,0.000002048698,0.000009029569,0.00113662,0.00003125704,0.0004696857],"genre_scores_gemma":[0.9950666,0.0008414113,0.001118141,0.00002087695,0.000006860997,0.00003182614,0.001448067,0.0000075833,0.001458531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010882,"threshold_uncertainty_score":0.0201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005904002913931021,"score_gpt":0.2268567154415987,"score_spread":0.2209527125276677,"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."}}